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Operations Engineer, Operations Engineering
Amazon 4.7
Operations engineer job in Boston, MA
As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives. - Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes. - Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. - Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. - Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors. - Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team. - Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams. - Efficiently manage change order controls, purchase orders, and invoice validation/approvals. - Excel at building strong working relationships with internal and external stakeholders across multiple projects. - Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. - Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Mechanical Engineering, or other STEM field - 4+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.) Preferred Qualifications - Master's degree in Engineering, Operations, Business Administration, or a related STEM field - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects - Experience with Six Sigma and/or Lean Manufacturing - Experience with Microsoft Project, Smartsheet programs - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells - Proven technical leadership for industrial engineering projects or program Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$68.9k-126.4k yearly 1d ago

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SoC Physical Design Engineer, Power Grid
Apple Inc. 4.8
Operations engineer job in Waltham, MA
Waltham, Massachusetts, United States Hardware Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. In this highly visible role, we work within a team environment responsible for completing partition place and route from netlist to tapeout including automation tasks for Apple SoC! Description Experience with automation for Physical Design, for block execution and experience in automation using tcl and/or python. Work multi-functionally with CAD/Physical Verification/Electrical analysis and PnR Teams to ensure strong and drc clean power grid. Develop features and methodology solutions to be used by wide range of SOC partitions. Collaborate with technology teams for node evaluations, global PD engineers, and physical verification and electrical analysis teams. Resolve design and flow issues related to physical design, identify potential solutions, and drive execution. Work with the cross functional teams to drive methodologies and “best known methods” to streamline physical design work. Come up with guidelines and checklists, drive flow development and deployment. Minimum Qualifications Minimum BS and 10+ years of relevant industry experience. Familiar with aspects of ASIC integration including floorplanning, clock and power distribution, global signal planning, I/O planning, and hard IP integration. Experience with scripting and programming skills, ability to write maintainable and reusable scripts/programs of medium complexity in suitable languages (TCL/Python). Understanding of industry standard tools for PNR, Voltage Drop Analysis, STA & Layout Verification. Preferred Qualifications Experience with automation for Physical Design, block level execution and experience. Experience of cross-functional collaboration with CAD/Physical Verification/Electrical analysis and PNR Teams to ensure electrically robust power grid. Experience with latest technology nodes tapeout is a plus. Knowledge in Power Grid Design and/or Voltage Drop Analysis is a plus. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $162,500 and $286,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr
$162.5k-286.4k yearly 1d ago
Healthcare AI/ML Engineer - ML Ops, NLP & CV
Dana-Farber Cancer Institute 4.6
Operations engineer job in Boston, MA
A leading cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves developing scalable AI solutions, collaborating within a dynamic team, and ensuring model performance. Candidates should hold a Bachelor's degree in a related field and possess at least one year of relevant experience. An inclusive work environment is emphasized, encouraging all qualified applicants to apply. #J-18808-Ljbffr
$76k-102k yearly est. 3d ago
Mechanical Engineer
Actalent
Operations engineer job in Westborough, MA
We are seeking a highly skilled Mechanical Engineer with strong technical and analytical capabilities to support the development of mechatronics systems. The ideal candidate will have experience in both prototype and production-level designs and a proven ability to deliver results efficiently. Responsibilities Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks. Perform mechanical tolerance stack-up analysis and related engineering calculations. Create mechanical assemblies for electronics and automation systems. Support rapid prototyping and production tooling processes. Collaborate with cross-functional teams to ensure design feasibility and manufacturability. Manage projects using Agile PLM tools and methodologies. Communicate technical concepts clearly through documentation and presentations. Essential Skills Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field. Proficiency in SolidWorks MCAD software for 3D modeling and 2D drafting. Experience with Agile PLM systems. Strong knowledge of mechanical assemblies, electronics integration, and automation design. Expertise in mechanical tolerance analysis. Hands-on experience with rapid prototype tooling and production tooling. Proven project management skills. Excellent communication and technical writing abilities. Additional Skills & Qualifications * Thermal simulation analysis. * Structural load analysis. The role will require 30% travel Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $140000.00 - $150000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Jan 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.
$140k-150k yearly 7d ago
Machine Learning Engineer - ML Planner
Motional Ad Inc.
Operations engineer job in Boston, MA
Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world. All Motional open positions and applications will be posted here on the official website. Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems. We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems - and eager to grow in a fast-moving, high-impact team. This opportunity can support remote work within the United States, with occasional travel. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML‑based scene understanding, behavior prediction, and planning models. Day‑to‑day responsibilities include: Designing and training large models for predicting surrounding agents, AV behaviors, and end‑to‑end planning systems by executing high‑value experiments based on collaborative input from other machine learning engineers Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities Timely release of major model updates, including analysis of both off‑line and on‑road evaluation data Staying up to date with the latest trends in our fast‑moving industry, and proposing new architectures and network designs Maintaining a high-quality training and evaluation code‑base, including portions of our training stack dedicated to dataset generation and evaluation What We're Looking For: Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics. In‑depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer‑based architectures, autoregressive decoder architectures etc. Experience designing, training, and analyzing neural networks/transformer‑based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi‑object tracking, multi‑agent predictions. Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods Knowledge or course experience of generative models such as VLM, VLA etc. Experience with PyTorch or other Python‑based deep learning frameworks Experience working with large data sets, data curation, and augmentation. Bonus Points Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.) Project or internship experience on VLM, VLA and other foundation models for robotics and self‑driving. PhD in machine learning, generative AI, computer vision, or robotics vision Project experience working on autonomous vehicles or related fields Experience in deploying models into real‑world environments Strong programming skills in C++ and/or CUDA programming The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $142,000 - $190,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. We're creating first‑of‑its‑kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully‑autonomous cross‑country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest‑standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E‑Verify. All newly‑hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility. Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine‑learning, and artificial intelligence. #J-18808-Ljbffr
$142k-190k yearly 2d ago
Machine Learning Engineer, Perception R&D
Pickle Robot
Operations engineer job in Boston, MA
About this role: Pickle is on the hunt for a dynamic and driven Machine Learning Engineer to revolutionize the future of warehouse automation. This role sits at the critical intersection of Perception and MLOps. You will focus on two key pillars: developing robust scene understanding models and building the deployment and analysis infrastructure that allows us to measure, understand, and improve our robots performance in the real world. Responsibilities: Build Performance Analysis Systems: You will design systems that automatically analyze robot telemetry and video logs to detect anomalies, quantify perception failures, and provide deep insights into why a robot performed a certain way. Scale the Data Engine: You will take ownership of the data lifecycle. You will build automated pipelines to mine interesting events from fleet data, implement active learning strategies to curate high-value datasets, and drive the continuous improvement of our model suite. Develop Scene Understanding Models: You will train and refine 2D/3D vision models specifically designed for event detection and semantic understanding. Master Edge Deployment: You will own the optimization and deployment of these models. You will use tools like TensorRT and ONNX to ensure our models run efficiently on edge hardware (NVIDIA Orin). Define Perception Metrics: You will move beyond simple validation loss and define real-world performance metrics that correlate with customer success, visualizing these trends for the broader engineering team. Skills: 3+ Years of Experience in Computer Vision and Machine Learning, with a strong focus on MLOps, deployment, or data infrastructure. Strong proficiency in Python and PyTorch. You are comfortable writing tooling scripts, data queries, and deployment pipelines. You have experience optimizing models for the edge using TensorRT, ONNX Runtime, or CUDA. You understand how to profile model performance and manage resource constraints. You treat data as a product. You have experience utilizing SQL, data lakes, or vector databases to manage large-scale datasets and automate quality assurance. Familiarity with VLMs and 2D/3D Vision architectures sufficient to debug model failures and understand data needs. You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders. Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools. $130,000 - $160,000 a year Pay at Pickle At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle Robot Want to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor-tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. #J-18808-Ljbffr
$130k-160k yearly 3d ago
Data Studio Engineer - Mechanical Engineering
Foundationllm
Operations engineer job in Boston, MA
About us We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)-an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development. About the Role You'll play a critical role in designing EGI: AI that understands how to design, reason, and build like an experienced mechanical engineer. In this role, you'll use your deep knowledge of mechanical design and manufacturing to create high-quality reference models, engineering workflows, and datasets that power our AI systems. You'll embed engineering judgment into the training loop and shape how machines learn to solve real-world design and manufacturing problems. Responsibilities Design and build high-quality mechanical components and assemblies in CAD to serve as ground truth for training and evaluating AI systems. Define and maintain standards for model quality, metadata, and annotation to ensure consistency and reliability across datasets. Collaborate closely with ML, software, and product teams to shape dataset requirements and influence model behavior through representative engineering examples. Manage and guide a team of external contractors, including writing SOPs, reviewing output quality, and ensuring timely delivery of data assets What we're looking for Bachelor's or Master's degree in Mechanical Engineering or related field. Strong foundation in machine design, product development, and design for manufacturing (DFM). Experience with one or more CAD platforms (e.g., Siemens NX, SolidWorks) with the aptitude to pick up new ones quickly. Strong attention to detail and appreciation for data/model quality. Excellent written and verbal communication skills, especially when documenting processes or communicating across teams. Experience managing external contractors or vendors, including writing clear standard operating procedures (SOPs), reviewing work quality, and providing feedback. Bonus Points Experience working with Software/ML teams. Experience with CAD automation and parametric model generation. Understanding of how large language models (LLMs) or other ML systems are trained and evaluated. #J-18808-Ljbffr
$75k-99k yearly est. 5d ago
Mechanical Engineer-Automation
Bridge Technical Talent
Operations engineer job in Alstead, NH
This is a permanent full time role located ON SITE in New Hampshire. This is NOT a remote or hybrid role. This is a hands-on mechanical engineer with a focus on/experience with designing, fabricating and building the mechanical elements of automated systems. 5 or more years of experience in Mechanical Design is required Experience with 6-axis robotics (or similar) and design, Machining of parts on CNC machines. additionally experience in product design is preferred. hand assembly, automated assembly, sheet metal, machining, injection molding, PCB assembly, wire and cable processing, and many supplementary processes associated with the listed areas. Experience with CAD (preferably SolidWorks) required. Experience with hand tools and assembly of mechanical systems required. Experience with basic measuring and quality control tools required. Experience with GD&T preferred. Experience with programming (CAM) and operation of CNC mills and lathes send resume to: ************************
$69k-90k yearly est. 4d ago
Machine Learning Engineer (Boston, MA located only)
Haemonetics Software Solutions
Operations engineer job in Boston, MA
Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Boston, MA, UStime type: Full timeposted on: Posted Yesterdayjob requisition id: R10124We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice.## Job Details**Key Responsibilities:*** **Applied Machine Learning:** Implement practical ML solutions. This involves training "classic" models (regression, classification) or integrating off-the-shelf models and APIs, rather than researching deep learning architectures from scratch.* **Data Discovery & Preparation:** Analyze mixed datasets (structured SQL data, logs, and unstructured inputs) to determine if they are viable for automation or prediction. You will be the first to "view" this data with an ML lens.* **Integration & Prototyping:** Build Python-based services (e.g., wrapping models in APIs) and collaborate with the core Software Team to integrate these predictions into our .NET enterprise applications.* **Technical Validation:** Review and validate technical deliverables from external AI consultants to ensure they are sound, maintainable, and properly documented.* **Regulated Engineering:** Ensure all ML code and data handling processes comply with strict regulatory standards (e.g., rigorous version control, data privacy/HIPAA, and documentation).**Required Knowledge, Skills, & Capabilities:*** **Education:** Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.* **Experience:** Minimum of 3-4 years of professional software development experience, with **demonstrable experience in Data Science or Machine Learning projects**.* **The "Python Stack":** proficiency with Python and standard libraries (Pandas, NumPy, Scikit-learn) is required.* **Versatility:** You are comfortable wearing multiple hats. You might be cleaning data on Monday, tweaking a regression model on Tuesday, and writing a Python API wrapper on Wednesday.* **Independence:** Ability to work as the sole ML practitioner within a Scrum team of C# developers. You can research problems and unblock yourself without a senior Data Scientist sitting next to you.* **General Software Skills:** Familiarity with version control (Git), APIs (REST), and basic software design principles.**Desired Assets (Nice to have):*** Experience working in a **regulated industry** (Medical Device, Pharma, Finance, etc.) or knowledge of standards like **IEC 62304, ISO 13485, or HIPAA**.* Familiarity with **C# / .NET** (you don't need to be an expert, but you need to be able to read the code and work with the team that writes it).* Exposure to cloud environments (AWS preferred) for deploying simple services.**General Skills:*** **Pragmatic:** You prefer a simple solution that works over a complex one that is theoretically perfect.* **Curious:** You are excited to dig into complex medical data to find patterns.* **Communicator:** You can explain data concepts to stakeholders who do not have a math background.**Pay Transparency:**The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role.In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, “flexible time off” for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits.Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact **************, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email *********************.The base salary range for this role is:$101,074.94-$136,586.75/Annual #J-18808-Ljbffr
$101.1k-136.6k yearly 4d ago
Senior Mechanical Engineer-IT Rack Infrastructure
Dell 4.8
Operations engineer job in Cambridge, MA
Mechanical Engineering leads and delivers the development of innovative and compliant mechanical design solutions, as well as cross-functional interfaces for computer systems and peripherals. Our team conducts the analysis, feasibility studies and testing of mechanical products, instruments, subassemblies and packaging for new and existing products - and then oversees the introduction of design changes to the manufacturing organizations. As AI growth is accelerating, Dell Technologies is developing ground-breaking technologies and customer solutions to lead the industry. These technologies are rapidly changing and we're developing best-in class AI, Cloud, High Performance Computing (HPC), Edge computing devices and enterprise networking, server and storage products. Join us to do the best work of your career and make a profound social impact as a Senior Mechanical Engineer on our IT Rack Infrastructure Team in Hopkinton, Massachusetts or Austin, Texas . What You'll Achieve As a Senior Mechanical Engineer, you'll collaborate with our global community of mechanical, electrical, and thermal engineering experts to create cutting-edge, rack‐level data center solutions that power the next generation of AI. You will: Partner closely with cross‐functional engineering teams to develop innovative, customer‐centric solutions Use 3D CAD tools to design sheet metal, plastic, die‐cast, and other complex components and assemblies Develop, prototype, and evaluate new mechanical concepts for feasibility and performance Work directly with suppliers, manufacturing, quality, and tooling teams to bring designs from concept to production Take the First Step Toward Your Next Career Milestone Every team member at Dell Technologies contributes something unique. Here's what we're looking for in this role: Essential Requirements 5+ years of experience in electro‐mechanical product development or equivalent skill Proficiency with 3D CAD software such as Creo or SolidWorks for designing sheet metal, plastics, and die‐cast components Knowledge of cooling technologies, with emphasis on liquid cooling and rack‐level thermal components Ability to interpret technical data sheets Familiarity with Finite Element Analysis (FEA) tools Desirable Requirements Bachelor's degree in Mechanical Engineering Experience designing high‐density IT rack solutions for data centers Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $116,450-$150,700 Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283893
$116.5k-150.7k yearly 1d ago
Mechanical Engineer
Vaxess Technologies
Operations engineer job in Woburn, MA
Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess' patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. The Mechanical Engineer is a hands-on position involving designing, building, and maintaining automated production equipment throughout its lifecycle. This role will be responsible for design, assembly, installation, qualification, ongoing maintenance, and optimization of automated production systems requiring expert troubleshooting of mechanical assemblies and systems, performing root cause analysis, and implementing corrective actions to ensure efficient, reliable manufacturing operations. Responsibilities Design, implement, and maintain novel automated systems and solutions that contribute to current manufacturing and scale up of manufacturing operations to eventual commercialization. Document equipment and procedures though User Requirements Specifications, detailed mechanical, electrical, and assembly drawings, and use and maintenance SOPs. Contribute to the implementation and maintenance of the Quality Management System. Collaborate closely with cross-functional teams to support product development and manufacturing activities, and to identify and resolve manufacturing issues. Contribute to continuous improvement to increase safety, quality, and efficiency of manufacturing. Qualifications BS or advanced degree in Mechanical Engineering or a related discipline. At least 2-5 years of experience in designing, building, installing, qualifying, and maintaining automated systems for high volume medical device manufacturing. Experience writing and executing IQ, OQ and PQ protocols. Experience developing URS, FAT and SAT documents for automated equipment 3D CAD (SolidWorks or similar) as well as Mechanical design of fixtures, assemblies and equipment. Understanding and working knowledge of mechanical linkages, power transmissions and practices. Understanding of diverse fabrication techniques, manufacturing processes, and Design for Manufacturability Excellent time and project management skills and proven ability to meet goals and deadlines. Demonstrated abilities to learn new skills and fields, creatively solve challenging technical problems, think independently, and work collaboratively in diverse multidisciplinary teams. Entrepreneurial spirit and drive to positively impact global human health. At Vaxess, we're bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to ******************.
$75k-98k yearly est. 15h ago
Machine Learning Engineer Boston, MA ( )
Petsapp
Operations engineer job in Boston, MA
👋 Join us at Remark Join the Remark Revolution Remark is reshaping the e‑commerce landscape by harnessing the power of AI and personalized support to solve a critical problem: the low conversion rates plaguing online shopping. Our platform connects shoppers with trained product experts, using AI to enhance every interaction and turn browsing into buying. With Remark, we're not just selling products; we're providing a seamless, personalized shopping experience that boosts revenue and builds loyalty. We're a mix of visionaries, tech enthusiasts, and, frankly, a few eccentrics who've sharpened our skills at giants like Amazon, Microsoft, and Salesforce. Now, we're channeling our collective expertise into building an environment that values curiosity, innovation, and a bit of fun along the way. ⚡️What we're looking for As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy online! Do you love solving complex AI problems, developing strategy and roadmaps, and working in a highly collaborative environment? If so, this could be the perfect match. We build on a modern stack centered around TypeScript. Major elements include NestJS, Prisma, Bull, LangChain, and GraphQL. Ownership is a big facet of the culture at Remark, and as such we encourage strong input from each team member. If you feel strongly about building with something else, we'll hear you out. 📓Responsibilities Develop and enhance our LLM-based operations and pipelines. Work on cutting‑edge role‑playing and persona duplication techniques. Report directly to our Chief Technology Officer. Develop actionable roadmaps for new capabilities, and work with the engineering team execute on that roadmap. Implement comprehensive evals for new capabilities. Balance speed and quality, with a focus on tangible results. Participate in frequent code‑reviews with fellow team members. 🛠Qualifications Strong background in Deep Learning, Machine Learning, and NLP. Proficient in JavaScript and Python. Expertise in building applications leveraging LLMs, with an understanding of performance, latency, and deployment considerations. Familiarity with LLM‑enabled tooling, including frameworks (LangChain, LlamaIndex), vector databases, caching solutions (Redis), and monitoring tools. Knowledge of secure deployment practices and robustness against prompt injection. Passion for solving customer problems, developing strategies and roadmaps, and executing those plans to bring value to our business and customers. Experience with using qualitative and quantitative data (especially from A/B tests) to make engineering decisions. You also know when and how to balance data with intuition. 🎈Bonus points if You have cool open source contributions You thrive when things move fast You've seen a mountain goat 🐐 ⚕️Benefits Competitive salary and equity Full healthcare benefits (medical, dental, vision) Flexible PTO (at least 15 days / year recommended) At least 1 company retreat to Colorado annually $500 expense reimbursement for qualified fitness and outdoor recreation activities 🚀 Ready to join? Let's do this! The jobs listed are guidelines - not perfect outlines - of who we expect you to be. We'd love to hear from you even if you color outside the lines. At Remark, we're building a workplace where everyone can belong. We're committed to diversity and inclusion and encourage applicants from all backgrounds to join our team. Remark is proud to be an equal opportunity employer. #J-18808-Ljbffr
$88k-130k yearly est. 4d ago
Machine Learning Engineer
Peke Labs
Operations engineer job in Boston, MA
We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s Corp We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data. Role Machine Learning Software Engineer About Us: We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We're a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics. About the Role: As an ML Software Engineer, you'll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You'll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time. What You'll Do Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs. Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack. Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency. Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry. Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions. Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks. Contribute to a fast-paced, agile development process where doing is prioritized over perfection. Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate. Qualifications Experience in developing machine learning models, with a focus on real-time data processing. Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments. Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.). Experience with sensor data and working with raw data inputs from wearables or similar devices. Comfortable working in a self-directed environment with little supervision-your ability to prioritize and execute will set you apart. A bias towards doing: You're someone who gets things done, doesn't wait for perfect conditions, and takes action to solve problems. A growth mindset, excited to take on new challenges and innovate in a fast-moving environment. Excellent communication skills and a collaborative attitude, even when tackling complex technical problems. Nice-to-Haves Experience with biomechanics, kinesiology, or motion analysis. Familiarity with real-time systems and edge computing. Knowledge of motion capture technologies, wearable sensors, or gesture recognition. Familiarity with cloud platforms and deploying ML models at scale. Why Join Us Work at the intersection of biomechanics, AI, and wearable technology-help us shape the future of human-machine interaction. Be part of a nimble, collaborative team where every member's voice is heard, and every contribution matters. Opportunities for professional growth and learning in an innovative, fast-paced environment. Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box. #J-18808-Ljbffr
$88k-130k yearly est. 4d ago
Automation Mechanical Design Engineer for Cell Therapy
Vertex Pharmaceuticals 4.6
Operations engineer job in Boston, MA
A leading biotechnology firm in Boston seeks a Senior Mechanical & Automation Engineer. This role involves developing and automating manufacturing solutions for innovative therapies. Candidates should have extensive experience in automation development, mechanical design, and a strong understanding of cGxP principles. This is a five-day-a-week role requiring onsite presence for three days weekly. Compensation ranges from $75 to $90 per hour, with eligibility for overtime pay. #J-18808-Ljbffr
$75-90 hourly 5d ago
Principal Machine Learning Engineer
Red Hat, Inc. 4.6
Operations engineer job in Boston, MA
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI (************************************** Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the‑art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. Join us in shaping the future of AI! What you will do Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM (************************************** and related projects, such as llm-d (******************************* and LLM‑compressor (*********************************************** projects. Create and manage inference serving deployment pipelines Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models Participate in technical design discussions and provide innovative solutions to complex problems Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance Give thoughtful and prompt code reviews Mentor and guide other engineers and foster a culture of continuous learning and innovation Continuous collaboration with internal and external open source contributors while contributing to vLLM and related projects What you will bring Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning Experience with tensor math libraries such as PyTorch and NumPy Strong programming skills with proven experience implementing Python based machine learning solutions Ability to develop and implement research ideas and algorithms Experience with mathematical software, especially linear algebra Understanding of Linear Algebra, Gradients, Probability, and Graph Theory Strong communications skills with both technical and non-technical team members BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus. #AI-HIRING #LI-MD2 The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat (************************ is the world's leading provider of enterprise open source (******************************************** software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in‑office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare and dependent care Health Savings Account - high deductible medical plan Retirement 401(k) with employer match Paid time off and holidays Paid parental leave plans for all new parents Leave benefits including disability, paid family medical leave, and paid military leave Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr
$87k-116k yearly est. 5d ago
Operations Engineer, Operations Engineering
Amazon 4.7
Operations engineer job in Boston, MA
As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives. - Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes. - Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. - Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. - Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors. - Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team. - Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams. - Efficiently manage change order controls, purchase orders, and invoice validation/approvals. - Excel at building strong working relationships with internal and external stakeholders across multiple projects. - Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. - Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Mechanical Engineering, or other STEM field - 0-4 years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.) Preferred Qualifications - Master's degree in Engineering, Operations, Business Administration, or a related STEM field - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects - Experience with Six Sigma and/or Lean Manufacturing - Experience with Microsoft Project, Smartsheet programs - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells - Proven technical leadership for industrial engineering projects or program Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $54,600/year in our lowest geographic market up to $93,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$54.6k-93.5k yearly 6d ago
SoC Physical Design Engineer, STA/Timing
Apple Inc. 4.8
Operations engineer job in Waltham, MA
- Collaborate with design teams to understand and debug constraints, facilitating logic changes to optimize timing. - Work with the Physical Design team to identify issues and share best practices. - Develop and implement timing ECOs for project tapeouts. - Create and maintain scripts and methodologies for analysis and runs. - Document processes and contribute to guidelines and specifications. - Conduct detailed analysis of timing paths to identify key issues. - Implement timing infrastructure to support design goals. Minimum Qualifications Bachelor's degree and 3+ years of relevant industry experience. Experience with large design STA and timing closure. Proficiency in programming with Perl and TCL. Preferred Qualifications Hands-on experience in STA. Knowledge of timing aspects in large high-performance SoC designs in sub-micron technologies. Understanding of timing closure methodologies, noise, crosstalk, and OCV effects. Familiarity with circuit modeling, including SPICE models and corner analysis. Experience with ECO techniques and implementation. Strong communication skills to clearly describe issues and follow through to resolution. #J-18808-Ljbffr
$128k-167k yearly est. 4d ago
Mechanical Engineer
Actalent
Operations engineer job in North Reading, MA
We are seeking a highly skilled Mechanical Engineer with strong technical and analytical capabilities to support the development of mechatronics systems. The ideal candidate will have experience in both prototype and production-level designs and a proven ability to deliver results efficiently. Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks. Perform mechanical tolerance stack-up analysis and related engineering calculations. Create mechanical assemblies for electronics and automation systems. Support rapid prototyping and production tooling processes. Collaborate with cross-functional teams to ensure design feasibility and manufacturability. Manage projects using Agile PLM tools and methodologies. Communicate technical concepts clearly through documentation and presentations. Skills Mechanical, Design, Solidworks, cad, metal fabrication, plm, machine design, gd&t Top Skills Details Mechanical,Design,Solidworks,cad,metal fabrication,plm Additional Skills & Qualifications Nice to Have: Thermal simulation analysis Structural Load Analysis Required: Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field. 5+ years of experience in mechanical design and product development. Proficiency in SolidWorks MCAD software for 3D modeling and 2D drafting. Experience with Agile PLM systems. Strong knowledge of mechanical assemblies, electronics integration, and automation design. Expertise in mechanical tolerance analysis. Hands-on experience with rapid prototype tooling and production tooling. Proven project management skills. Excellent communication and technical writing abilities. Experience Level Expert Level Job Type & Location This is a Contract position based out of North Reading, MA. Pay and Benefits The pay range for this position is $140000.00 - $150000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in North Reading,MA. Application Deadline This position is anticipated to close on Jan 23, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.
$140k-150k yearly 5d ago
AI-Machine Learning Engineer
Dana-Farber Cancer Institute 4.6
Operations engineer job in Boston, MA
The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute. This role provides support in machine learning, NLP, and computer vision to build reusable and scalable AI/ML tools and pipelines to support Dana-Farber operations, research, and clinical practice. The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients. The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute's research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life-changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities: Contribute to the development, deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency. Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy. Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference. Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases. Provide updates on assigned tasks and project progress to multiple groups including the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders. Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives. Qualifications: Bachelor's degree in a related field (Computer Science, Data Science, Engineering) required. Master's degree preferred. 1 year of work experience in machine learning and AI required. Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience. Experience within a clinical or research environment preferred. Knowledge, Skills, and Abilities Required: Excellent communication and effective problem-solving skills. Track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute. Familiarity with Python. R, Databricks, and/or Snowflake experience preferred. Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. #J-18808-Ljbffr
$91k-125k yearly est. 3d ago
AI-Machine Learning Engineer
Dana-Farber Cancer Institute 4.6
Operations engineer job in Boston, MA
The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Artificial Intelligence & Machine Learning Engineer/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminates innovative patient therapies and scientific discoveries around the world, and reduces the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life‑changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Primary Duties and Responsibilities Meeting and consulting scientists requiring machine learning & AI support and designing plans and solutions. Delivering results for projects on‑time and on‑budget. Working as part of the broader team to identify longer‑term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluating and benchmarking new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem‑solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Experience with one of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi-Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Minimum Job Qualifications Bachelor's degree required. 1 year of relevant experience required. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $90,400.00 - $106,400.00 #J-18808-Ljbffr
$90.4k-106.4k yearly 3d ago

Learn more about operations engineer jobs

How much does an operations engineer earn in Nashua, NH?

The average operations engineer in Nashua, NH earns between $48,000 and $120,000 annually. This compares to the national average operations engineer range of $63,000 to $132,000.

Average operations engineer salary in Nashua, NH

$76,000

$48,00010%

$76,000Median

$120,00090%

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Operations engineer jobs in Nashua, NH - 1,966 jobs

Operations Engineer, Operations Engineering

SoC Physical Design Engineer, Power Grid

Healthcare AI/ML Engineer - ML Ops, NLP & CV

Mechanical Engineer

Machine Learning Engineer - ML Planner

Machine Learning Engineer, Perception R&D

Data Studio Engineer - Mechanical Engineering

Mechanical Engineer-Automation

Machine Learning Engineer (Boston, MA located only)

Senior Mechanical Engineer-IT Rack Infrastructure

Mechanical Engineer

Machine Learning Engineer Boston, MA ( )

Machine Learning Engineer

Automation Mechanical Design Engineer for Cell Therapy

Principal Machine Learning Engineer

Operations Engineer, Operations Engineering

SoC Physical Design Engineer, STA/Timing

Mechanical Engineer

AI-Machine Learning Engineer

AI-Machine Learning Engineer

Learn more about operations engineer jobs

How much does an operations engineer earn in Nashua, NH?