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Company Description Elga Labwater, a division of Veolia Water Technologies is the industry leader in providing water purification treatments and wastewater solutions to industrial, commercial, and municipal customers. Veolia Water provides water services through public-private partnerships and industrial outsourcing agreements and is comprised of the top water professionals in every corner of the globe. Our parent company, Veolia Environment (VE), is a world leader in environmental services. VE is based in France and is comprised of four business segments that serve the environmental needs of customers globally: Veolia Water, Veolia Environmental Services, Veolia Energy, and Veolia Transportation. ELGA LABWATER, the specialist laboratory water brand of Veolia Water Technologies. For over 50 years we have been the acknowledged specialists in water purification for laboratories worldwide. The ELGA brand is renowned across the globe for excellent quality and reliability. We have built our sccess on a commitment to quality and customer care, together with a major emphasis on applied research and development Job Description Job Summary: We are seeking a highly motivated and experienced Field Service Engineer to join our West coast field service team. The Field Service Engineer will be responsible for ensuring the successful execution of all field service activities, including installations, repairs, and preventative maintenance in the San Francisco bay area. The ideal candidate will possess excellent technical and communication skills, and be committed to providing exceptional service to our clients. Responsibilities: <li>Install, configure, and test systems at customer locations according to specifications and procedures</li><li>Perform scheduled preventive maintenance on existing equipment and systems</li><li>Diagnose and troubleshoot equipment and system issues on-site</li><li>Repair or replace faulty components and parts as needed</li><li>Quoting customers for service visits</li><li>Managing preventative maintenance agreements in the region</li><li>Provide training and guidance to customers on the proper operation and maintenance of equipment</li><li>Maintain accurate service records and documentation</li><li>Respond promptly to service calls and customer requests</li><li>Follow all safety protocols and procedures when working on-site</li> Qualifications <li>Bachelor's degree in a relevant technical field or equivalent work experience in lieu of a degree.</li><li>Proven experience in a field service environment. Prior experience in the lab water industry is a plus</li><li>Strong technical knowledge and understanding of field service operations, including installations, repairs, and maintenance.</li><li>Experience with Google Workspace is a plus</li><li>Excellent organisational, and problem-solving skills.</li><li>Effective communication and interpersonal skills to interact with team members, clients, and vendors.</li><li>Strong customer service orientation with a commitment to delivering exceptional service.</li><li>Ability to manage multiple priorities and meet deadlines in a fast-paced environment.</li><li>Proficient in using computer software and systems related to field service operations.</li><li>Valid driver's license and willingness to travel to various job sites as required.</li> Additional Information We offer a competitive salary package and benefits, along with opportunities for growth and advancement within our organisation. If you are a dedicated professional with a passion for delivering outstanding field service, we encourage you to apply for this rewarding opportunity We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. (Salary Range $80,000 - $88,000 USD per year plus incentives) As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.

Field Service Technician

<h4>Senior Embedded Software Engineer - Bot Control</h4>Time type: full timePosted on: May 27, 2025Job requisition id: R4921What we needWe are looking for a Senior Embedded Software Engineer– Bot Controls. You will be working on the Minibot software team to design, develop and implement the software running onour robots. You will be working with a group of industry leading roboticists to implement a large-scale production robotic solution.What we doThe Minibot team is responsible for all software development on Symbotic's large fleet of autonomous mobile robots, which perform mission critical operations in the supply chain.  This includes embedded systems, controls, perception, path planning, simulation and GUI development. What you'll do<ul><li>Collaborate with cross-functional engineering and product teams in planning, design, and development of all software running on a fleetof mobile robots.</li></ul><ul><li>Optimize the robot performance and throughput to achieve the desired system KPIs.</li></ul><ul><li>Develop the platform OS, device drivers and libraries to interface with the HW with the algorithm stack</li></ul><ul><li>Work across the full on-robot software stack Construct automated diagnostic tools for reliable detection and debugging of bot failures in the field.</li></ul><ul><li>Take ownership of the quality, reliability, and testability of the software codebase.</li></ul><ul><li>Troubleshoot system problems in production or design by investigating issues related to product performance or production difficulties.</li></ul><ul><li>Identify risks and provide solutions leading to successful customer deliveries and continual improvements in system performance.</li></ul><ul><li>Occasional travel of up to 10% may be required.</li></ul>What you’ll need<ul><li>Bachelor's, Master's, or PhD in computer science, robotics, electronic engineering, or a related field.</li></ul><ul><li>Minimum of 5 years of demonstrated experience in developing software in embedded systems for high reliability applications.</li></ul><ul><li>Proficiency withYocto, the Linux kernel and device driver development.</li></ul><ul><li>Knowledge of communication technologies like GMSL, Ethernet, SPI etc.</li></ul><ul><li>Proficiency in C&nbsp;.</li></ul>Nice to haves<ul><li>Familiarity with C++&nbsp;</li></ul><ul><li>Familiarity with Cameras and LIDAR integration</li></ul><ul><li>Familiarity with Controls and Localization algorithms</li></ul>Our Environment<ul><li>Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.  </li></ul><ul><li>The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis. </li></ul>#LI-Hybrid#LI-JT1 Apply Now

Symbotic

Senior Embedded Software Engineer - Bot Control

<h4>Advanced SQA Engineer</h4>Time type: full timePosted on: May 22, 2025Job requisition id: R4918What we needSymbotic’s SQA department is seeking an Advanced SQA Engineer to join our team. This engineer will be joining a team that establishes quality scalable engineering processes and tests business critical tools. This candidate will be involved in testing the new and existing software capabilities using a variety of both manual and automated testing methods. This person will ensure high quality delivery of business-critical products and solutions used for warehouse automation and logistics.&nbsp;What we do In our Software / QA division, we are at the forefront of ensuring excellence in Symbotic's strategic products and solutions. Our team is dedicated to defining and upholding the highest quality standards, employing advanced software test methodologies, and best practices to guarantee the integrity of complex, multi-system projects. We thrive on collaboration, working closely with development, system test, and test automation teams to ensure seamless integration and optimal functionality of our cutting-edge robotic solutions. Our commitment to innovation is matched only by our commitment to quality, as we continually seek to refine our approaches and tools, ensuring that our solutions not only meet but exceed our ambitious benchmarks for performance and reliability. What you’ll do <ul><li>Work within the Software QA Team to validate a complex, distributed, multi-threaded, multi-processor system end-to-end, ensuring quality in mission-critical product releases to multiple production sites</li></ul><ul><li>Test new product features and execute regression testing of existing features</li></ul><ul><li>Work with development teams to develop test plans, test suites, and test cases that ensure the software stack is thoroughly verified and validated through manual and automated methods</li></ul><ul><li>Test complex features or multiple simple features from requirements to release with minimal oversight</li></ul><ul><li>Submit, track, and very defects throughout the software development lifecycle</li></ul><ul><li>Write documentation, tests, scripts and tools to help facilitate testing best practices</li></ul><ul><li>Participate in Agile/SCRUM exercises such as stand-up, grooming, planning, and retrospective, to ensure the team is working effectively and managing its work</li></ul>What you’ll need <ul><li>Bachelor’s degree in Computer Science or related field</li></ul><ul><li>Minimum 5 years of experience in software QA&nbsp;</li></ul><ul><li>Comprehensive knowledge of industry testing practices, including but not limited to: black, gray, and white box testing; directed testing; smoke testing; system testing; performance, stress, duration, and scalability testing; topology testing; failover/disaster recovery testing; automated testing; integration and unit testing; usability testing; acceptance testing; validation and verification; ad-hoc testing</li></ul><ul><li>Experience working with hardware and/or hardware emulators is a plus</li></ul><ul><li>Familiarity with SQL, XML, JSON, and C# are a plus</li></ul><ul><li>Familiarity with microservice architecture and technologies like Kubernetes, Ansible, and Helm are a plus</li></ul><ul><li>Ability to work in a fast-paced environment and support unscheduled events</li></ul><ul><li>Ability to prioritize multiple simultaneous issues and tasks</li></ul><ul><li>Capability to work independently and take initiative with minimal supervision</li></ul><ul><li>Excellent verbal and written communication, active listening, and interpersonal skills</li></ul><ul><li>Experience working with Agile development methodology</li></ul><h4>Other Considerations</h4><ul><li>Up to 10%of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.</li></ul><ul><li>The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.</li></ul>#LI-Hybrid#LI-KC1 Apply Now

Advanced SQA Engineer

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.Position SummaryThe Artificial &amp; Decision Intelligence team within Business Insights and Technology (BI&amp;T) partners with the Bristol Myers Squibb GPS organization to design, develop and operationalize AI/Gen AI, and Decision Intelligence capabilities. We focus on answering key business questions that will drive prioritized business decisions using advanced AI capabilities. The GPS organization at Bristol Myers Squibb supports drug development from discovery through commercialization and distribution to patients. Their scope includes portfolio strategy, manufacturing and supply chain, network strategy, brand analytics, drug substance, drug product, and analytical development for small molecules, biologics, and cell therapy assets.In support of GPS Strategy, the AI Developer will be responsible for developing innovative AI solutions aimed at solving real-world GPS problems. As an AI professional, you will be expected to have a keen interest in AI, ML, and staying current with the latest developments in a rapidly changing field. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML applications.Key ResponsibilitiesAI Development and Tool Creation<ul><li>Lead the development and implementation of scalable AI solutions to address complex pharmaceutical business challenges.</li><li>Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively.</li><li>Design and deploy AI frameworks using SQL, Python</li><li>Collaborate with cross-functional teams to translate business requirements into technical specifications and solutions.</li><li>Conduct thorough testing and validation of AI models to ensure accuracy and reliability.</li><li>Develop standard AI frameworks for streamlined deployment practices</li><li>Establish and maintain consistent documentation of AI capabilities</li></ul>Stakeholder Management and Communication<ul><li>Clearly articulate technical concepts and project outcomes to both technical and non-technical stakeholders.</li><li>Present to business stakeholders to clearly communicate technical value provided</li></ul>Standardization and Best Practices<ul><li>Help develop standardized capabilities and best practices within the AI development space.</li><li>Contribute to the standardization of AI deployment methodologies.</li><li>Ensure adherence to BMS operating policies and drive a culture of analytics and fact-based decision making.</li></ul>The role could expand over time to include a wider range of applications, including in areas such as decision intelligence, and data products engineering.Qualifications &amp; ExperienceMinimum Qualifications<ul><li>Minimum of 5 years of hands-on experience working in AI or ML, data science, data integration, and reporting.</li><li>Minimum of 2 years of hands-on experience working with LLMs</li><li>Bachelor’s degree in computer science, information systems, computer engineering, or equivalent is preferred.</li><li>Experience with cloud-based environments (AWS, Azure, Google AI, etc.).</li><li>Excellent communication and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.</li><li>Ability to work collaboratively with technical peers across locations (US, EU, India)</li></ul>Preferred Qualifications<ul><li>Master’s degree in computer science, information systems, computer engineering, data science, or a related technical field.</li><li>Experience with AI applications in a regulated environment, such as health care, biotech, or pharmaceuticals.</li><li>Proven track record of development of AI projects from conception to deployment, including stakeholder management and delivering impactful results.</li><li>Familiarity with additional AI frameworks and tools beyond those listed (e.g. Agentic, LLMs, Computer Vision, text-to-code etc).</li><li>Experience working with Agile methodologies and tools (e.g., JIRA, Confluence) to manage project workflows and sprints.</li></ul>Experience <ul><li>Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.</li><li>Exceptional analytical skills with substantial knowledge of AI</li><li>Ability to quickly gain and apply functional area specific knowledge.</li><li>Experience interpreting analytical results and ascertaining implications to the business.</li><li>Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.</li><li>Exceptional creative problem-solving skills to answer key business questions.</li><li>Ability to work with diverse teams across organizational lines and structures.</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Bristol Myers Squibb

Manager, AI Engineering & Enablement, GPS BI&T

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.<h4>Position: MLOps Engineer, Manager - Analytics Operations</h4><h4>Location: Multiple locations including Devens, MA, New Brunswick, NJ or Seattle, WA</h4>At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Position SummaryThe GPS BI&amp;T Analytics Operations team (Global Product Development and Supply Business Insights and Technology) is building best-in-class DevOps and MLOps infrastructure for deploying innovative AI and ML solutions that drive business value at BMS.The MLOps Engineer, Manager – Analytics Operations will work directly with the Associate Director, Analytics Operations to deploy and manage ML models in production environments. This role will serve as the bridge between machine learning development and operations and work closely with small, cross-functional project-driven teams that include developers, data scientists and business stakeholders to deliver high impact business value. The successful candidate will build robust pipelines and infrastructure that enable efficient development, deployment and monitoring of machine learning solutions.The successful candidate is a creative thinker with a scientific background in computer science, mathematics, engineering or other STEM field and has expertise in one or more of the following areas: backend development with a focus on cloud or ML model deployment, deep learning frameworks, data science, machine learning and data engineering. Previous DevOps/MLOps experience is desired but not a requirement. Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders. &nbsp;Key ResponsibilitiesThe MLOps Engineer, Manager – Analytics Operations will partner with business-facing stakeholders to establish core capabilities within the team, namely:<ul><li>Design, implement, and maintain CI/CD pipelines for machine learning models.</li><li>Containerize ML models using Docker/Kubernetes and deploy them on cloud platforms (AWS (preferred), Azure or GoogleCloud).</li><li>Set up and maintain monitoring systems to track model performance, response time, error rates and resource utilization (CloudWatch, Grafana, ELK stack).</li><li>Establish alerting and notification systems to quickly detect anomalies or deviations from expected behavior.</li><li>Drive business value – By implementing the highest impact use cases, actively drive business insights and the adoption of advanced analytics. Establish the team as a source of innovative AND reliable enterprise tools.</li></ul>Qualifications &amp; Experience<ul><li>BA/BS in a scientific or quantitative major required; advanced degree (Master or PhD) preferred.</li><li>4+ years of hands-on experience in backend development, cloud or ML engineering. Previous DevOps or MLOps experience a plus but not required. The ideal candidate will have both experience deploying ML models at scale but also have acquired a set of best practices along the way. Relevant experience in high tech or the biopharmaceutical industry preferred but not required.</li><li>Expert coder in languages such as: Python, Java, C or C ++, Go, Rust, Julia. (Required).</li><li>Version control and working with multiple team members in Git required.</li><li>Proficiency in cloud platforms (AWS (preferred), Azure, Google Cloud), containerization technologies (Kubernetes, Docker) and MLOps tools (MLflow, MLOps platform) is desired.</li><li>Knowledge of deep learning frameworks (PyTorch, Tensorflow) is desired.</li><li>Knowledge of CI/CD tools and practices (Jenkins, GitLab CI, CircleCI) is desired.</li><li>Experience with data engineering using SQL, Spark, ETL/ELT and data pipelines a plus.</li><li>Strong project management skills with demonstrated ability to lead multiple projects and balance shifting priorities.</li><li>Excellent interpersonal, collaborative, team-building, written and verbal communication skills to ensure effective collaborations within cross-functional teams.</li></ul>Why You Should ApplyAround the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" target="_blank">adastaffingsupport@bms.com</a>. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:&nbsp;<a href="https://careers.bms.com/california-residents/" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

MLOps Engineer, Manager - Analytics Operations

<h4>Description</h4>The Role As a Senior Frontend Engineer on the DeFi Yield Gen Platform team, you’ll get the opportunity to develop your skills and collaborate with engineers across Fidelity in a fun and dynamic environment. You will work closely with technical leaders and Architects to build a secure crypto yield generation platform utilizing modern software development practices. As a senior member of the team, you will mentor engineers on the best practices for Software development. The Expertise and Skills You Bring<ul><li>Bachelor's degree in computer science or related field required </li><li>5+ years' experience in Software engineering </li><li>Strong background with any major JavaScript/TypeScript frameworks such as Angular, React etc. </li><li>Familiar with NgRx, Redux, or other state management patterns </li><li>Skilled in the use of Testing Frameworks such as Playright, Cypress </li><li>Passionate about customer experience and good UX design </li><li>Experience working with REST APIs </li><li>Basic understanding of Java, a plus </li><li>Proficient in databases and SQL </li><li>Ability to build reliable software that can withstand unreliable environments </li><li>Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins Core </li><li>Possess critical thinking skills to build end-to-end solutions </li><li>Passionate and committed to learning new things and developing with the latest technologies and frameworks </li><li>Work well in both a small agile team and independently, having a strong user focus </li><li>Strong analytical and communication skills and the ability to handle multiple tasks at any given time </li><li>Participate in engineering practices such as code and design reviews, environment strategy, and build and deployment pipelines </li><li>Strong organization skills and attention to details </li><li>Experience with AWS or other cloud platforms and containerization technologies such as Docker is a plus </li></ul> The Team Fidelity Digital Assets?, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading, and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets? embraces an entrepreneurial culture and startup mindset while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. Within Fidelity Digital Assets?, the DeFi Yield Gen Team is responsible for the frontend, backend services and APIs that support DeFi Yield Generation Platform.

Fidelity TalentSource

SR Front End Engineer, DeFi Yield Gen

<h4>Senior Mechanical Engineer</h4>Time type: full timePosted on: May 16, 2025Job requisition id: R4893What we need We are looking for a talented Senior Mechanical Engineer to join our Strategic Projects team within our Core Engineering Org. In this role you will contribute to the entire product lifecycle, from concept to commercialization, of our cutting-edge automated systems. Your expertise in mechanical and structural systems design will be instrumental in developing reliable, efficient, and innovative solutions that bring a step-change transformation in our systems.What we do The Strategic Projects Team is part of our Core Hardware Org and is a fast-growing team that specializes in innovation and new product development from concepts to commercialization. The products in focus are of strategic importance to the business. What you’ll do <ul><li>Lead Design and Development: Conceptualize, design, and develop complex structural systems for our mobile robots.</li></ul><ul><li>Analysis and Optimization: Perform analysis, including FEA and tolerance analysis, to optimize designs for performance, cost, and manufacturability.</li></ul><ul><li>Cross-Functional Collaboration: Work closely with electrical, software, controls, manufacturing, and quality engineering teams to ensure seamless integration and product success.</li></ul><ul><li>Problem-Solving:Identify and troubleshoot design challenges, implement effective solutions, and drive continuous improvement.</li></ul><ul><li>Communication: Clearly communicate complex technical information to both technical and non-technical audiences. Contribute to a collaborative team environment and a culture of learning.</li></ul><ul><li>Hands-on Engineering: Actively participate in prototyping, building, testing, and iterating on designs.</li></ul><ul><li>Documentation: Create clear and accurate dimensional drawings per ANSI Y14.5 standards with GD&amp;T.Create and manage Bill of Materials (BOMs) and Engineering Change Orders (ECOs) in PLM.</li></ul>What you’ll need <ul><li>Bachelor's degree or higher in Mechanical Engineering.</li></ul><ul><li>Minimum of 8 years of relevant industry experience.</li></ul><ul><li>Strong foundation in mechanical design principles and hands-on experience with electromechanical systems.</li></ul><ul><li>Solid experience in CAD software (SolidWorks preferred). Experience with FEA tools (SolidWorks Simulation or Ansys preferred).</li></ul><ul><li>Demonstrated ability to select and integrate components such as motors, sensors, and actuators. </li></ul><ul><li>Experience with a variety of manufacturing processes (machining, casting, sheet metal, plastics).</li></ul><ul><li>Excellent problem-solving, analytical, and critical thinking skills.</li></ul><ul><li>Strong communication and interpersonal skills. </li></ul><ul><li>Proven ability to work effectively as part of a team. </li></ul><ul><li>Passion for robotics, automation, and innovation. </li></ul><ul><li>Experience in industrial robotics, automation, or material handling (preferred). </li></ul><ul><li>Knowledge of PLM systems (preferred). </li></ul><ul><li>Experience with design for manufacturing and assembly (DFMA) (preferred). </li></ul>Our environment<ul><li>Up to 20% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.  </li></ul><ul><li>The employee is responsible for owning a credit card and managing expenses personally to be reimbursed bi-weekly. </li></ul>#LI-Hybrid#LI-JH2 Apply Now

Senior Mechanical Engineer

<h4>Manager, Software Engineering - Applications Team</h4>Time type: full timePosted on: May 16, 2025Job requisition id: R4887What we needSymbotic is seeking an experienced Software Engineering Manager to join the Applications engineering team. In this role you will oversee a team of front-end, full stack, and UX engineers. You will be responsible for the design and development of user-facing applications enabling system operators to interact with the Symbotic system. You will lead the team's delivery of features and be involved with technical designs, discussions, and prioritizations. As a manager, you must understand the importance of fostering a strong team environment and develop trusting relationships with team members.&nbsp;What we doWe are a talented team of software engineers that develop user-friendly front-end software applications responsible for orchestrating inventory into the Symbotic system, order fulfillment out to customers, managing a fleet of autonomous robots and lift hardware, and much more. Our team’s applications handle large volumes of real-time data from many components and display to users for system monitoring and promptly executing remedial actions. We are self-driven software engineers who thrive in a creative, collaborative and agile development environment with a passion for implementing anexcellent user experience. What you’ll do<ul><li>Work with peers, technical leads, and engineers to set the direction for engineering and product development in an agileenvironment.</li></ul><ul><li>Manage the day-to-day activities of the engineering team and ensure project plans and commitments are on-time and on-budget.</li></ul><ul><li>Manage resources, staffing and mentoringto maintain a best-in-class engineering team.</li></ul><ul><li>Manage and coach a motivated, engaged, and effective team.</li></ul><ul><li>Build solid, effective relationships with the business, product management, and other engineering leaders to enable excellent teamwork and product development.</li></ul><ul><li>Provide technical leadership toward designing and delivering flexible and scalable solutions aligned with best practices.</li></ul><ul><li>Own solutions delivered by the team and be responsible for feature completion, quality, and performance into to production environments.</li></ul>What you’ll need<ul><li>Bachelor’s degree in computer science, engineering, or a related field.&nbsp;</li></ul><ul><li>Minimum of 8 years professional experience developing user-facing software applications.</li></ul><ul><li>Minimum of 3 years of experience managing a software engineering team.</li></ul><ul><li>People leadership style that is value-basedand approachable, enabling a collaborative and high-performing team culture.</li></ul><ul><li>Experience with .NET frameworks, Angular web frameworks, and real-time distributed services.</li></ul><ul><li>Excellent written and verbal communication skills and ability to present to customers and stakeholders.</li></ul><ul><li>Great interpersonal skills with an emphasis on building effective working relationships.</li></ul><ul><li>Excellent problem-solving, organizational, and analytical skills, with the leadership ability to gain buy-in or acceptance regarding change.</li></ul>Our Environment<ul><li>Up to 25% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.</li></ul><ul><li>The employee is responsible for owning a credit card and managing expenses personally to be reimbursed bi-weekly.</li></ul>#LI-JH1#LI-Hybrid Apply Now

Manager, Software Engineering - Applications Team

<h4>Description</h4><h4>The Role</h4>As a Senior Performance Engineer, you will play a key role in providing performance testing services across a diverse set of applications, technologies, and teams. You will work closely with teams to test/deploy and optimize applications prior to its release and monitor and troubleshoot performance issues in production.<h4>The Value You Deliver</h4><ul><li>Provide insight on application Performance defects and Performance Test Sign-offs for release. </li><li>Actively participate in ongoing production calls to analyze and triage infrastructure or application related issues. </li><li>Work with our global team and provide feedback on performance. </li></ul><h4>The Expertise You Bring In</h4><ul><li>5+ years of experience as a Performance Engineer </li><li>Extensive hands-on experience with performance engineering, including use of JMeter, Gatling or similar tools. </li><li>In-Depth knowledge of cloud technologies like AWS, EKS </li><li>Experience working with Datadog for monitoring, troubleshooting, creating dashboards and alerts </li><li>Experience with Continuous Testing and integrating into a CICD pipeline </li><li>Comfortable with tools like SQL developer and running SQL queries for data analysis and monitoring </li><li>Experience working in Agile Environment </li><li>Self-motivated and collaborative in your approach </li><li>Superb communication skills to work with various teams across US and India </li><li>Able to clearly communicate test results, findings to technical and non-technical stakeholders </li></ul>The Skills that are Good to Have for this role<ul><li>Understanding of Kubernetes concepts </li><li>Java development background </li><li>Automating performance testing through CICD pipeline is preferred </li><li>Kafka understanding </li><li>Unix and Shell Scripting Basics </li></ul><h4>The Team</h4><ul><li>Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions. We are an integral partner for Asset Management to deliver innovative, scalable, industry-leading investment tools that enable the Business Unit to achieve driven advantage globally. </li><li>Our team’s builds products and capabilities that continue to distinguish our brand as the best customer experience in the financial services industry. </li></ul>

Sr Performance Engineer

<h4>Description</h4> Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments! We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines. Contribute to building advanced analytics, machine learning platform and tools to enable both prediction and optimization of models. Extend existing ML Platform and frameworks for scaling model training &amp; deployment. Partner closely with various business &amp; engineering teams to drive the adoption, integration of model outputs. This role is a critical element to using the power of Data Science in delivering Fidelity’s promise of creating the best customer experiences in financial services. The Team PI Data Engineering team (part of Personal Investing Technology BU) is focused on delivery data and ML solutions for the organization. As part of this team, you will be responsible for building advanced analytics solutions using various cloud technologies and collaborating with Data Scientists to robustly scale up ML Models to large volumes in production. The Expertise You Have<ul><li>Has Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).</li><li>8+ years of proven experience in implementing Big data solutions in data analytics space.</li><li>2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.</li><li>Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.</li><li>Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).</li><li>Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.</li><li>Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.</li><li>Strong knowledge of developing highly scalable distributed systems using Open-source technologies.</li><li>Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).</li><li>Solid experience in Agile methodologies (Kanban and SCRUM).</li></ul>The Skills You Bring<ul><li>You have strong technical design and analysis skills.</li><li>You the ability to deal with ambiguity and work in fast paced environment.</li><li>Your experience supporting critical applications.</li><li>You are familiar with applied data science methods, feature engineering and machine learning algorithms.</li><li>Your Data wrangling experience with structured, semi-structure and unstructured data.</li><li>Your experience building ML infrastructure, with an eye towards software engineering.</li><li>You have excellent communication skills, both through written and verbal channels.</li><li>You have excellent collaboration skills to work with multiple teams in the organization.</li><li>Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem. </li></ul>The Value You Deliver<ul><li>Designing &amp; developing a feature generation &amp; store framework that promotes sharing of data/features among different ML models.</li><li>Partner with Data Scientists and to help use the foundational platform upon which models can be built and trained.</li><li>Operationalize ML Models at scale (e.g. Serve predictions on tens of millions of customers).</li><li>Build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics.</li><li>Exploring new technology trends and using them to simplify our data and ML ecosystem.</li><li>Driving Innovation and implementing solutions with future thinking.</li><li>Guiding teams to improve development agility and productivity.</li><li>Resolving technical roadblocks and mitigating potential risks.</li><li>Delivering system automation by setting up continuous integration/continuous delivery pipelines.</li></ul>Covid work policy Safety is our top priority. Once we can be together in person with fewer safety measures, this role will follow our dynamic working approach. You’ll be spending some of your time onsite depending on the nature and needs of your role. Dynamic working – post pandemic Our aim is to combine the best of working offsite with coming together in person. For most teams this means a consistent balance of working from home and office that supports the needs of your role, experience level, and working style. Your success and growth is important to us, so you’ll want to enjoy the benefits of coming together in person – face to face learning and training, quality time with your manager and teammates, building your career network, making friends, and taking full advantage of cultural and social experiences Fidelity provides for you.

24 Engineering Jobs in Massachusetts