Antron Engineering Machine Jobs in Usa

Title: Engineering technician/ Equipment technician

Work Location: Fremont, CA 94538

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Onsite

Shift: Grave shift 10:30pm-6:30am

Pay rate: $3 /hr.

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description:

We are seeking a person capable of running an Intevac 200L sputter machine in a proficient manner to fulfill the requests for the Media Development Engineering organization. Tasks and duties will include processing experiments precisely as documented or requested by the Engineering staff. Requirements are to work in class 10 /100 cleanroom environment, follow all procedures and protocols, follow instructions well, provide feedback to coworkers/leads in a constructive/positive manner, provide technical support and suggestions to Engineering, run sputter machines efficiently and effectively, collect sputter related data on metrology tools, maintain excellent documentation, work collaboratively in a team environment to help exceed goals. These items listed below CAN be trained.

Pilot Line Operations includes - processing of the media through various media processes and equipment which includes but is not limited to the following:

• Processing of experiments for the Engineering team - processing discs through the various tools, measurement of the media, data entry, and feedback to engineering and management of the results.
• Work inside of a cleanroom - 100% PPE suits from head to toe with masks and safety glasses are required.
• Job requires a good amount of movement (walking - 50% depending on the job) to retrieve parts from point A to point B in many cases.
• Reaching is required in many cases to load and unload products onto racks, machines, etc., typically ranging from 24 inches to 53 inches not exceeding 10lbs.
• Many cases cart is provided for the transport of product, but hand carrying of product/material is required majority of the time as well.
• Computer skills are required in all the areas since the machines and the processes require computer and software interface. Interaction with Engineering is required via email, phone and excellent understanding and communication skills are required. Comprehension of correct recipes, file savings, instructions are followed precisely. Detailed use of excel is a must and understanding of Windows.
• Job requires stepping onto step stools to reach platforms for the processing of parts, as well as bending/kneeling in tight spaces for access to back of tools for process checks.
• Manual dexterity is needed in some areas to perform tape changes, adjustments based upon data received from Engineering or checklists. MDW process requires detailed manual dexterity with ESD sensitive parts and miniature assembly.
• Many of the jobs require cross training to be able to utilize the employees efficiently for planning purposes and downtime in areas.
• Saturday workday is required and part of their schedule in many cases and overtime is required.
• Must be able to focus, excellent attendance, comprehension, enthusiastic in performing their jobs, communicate detailed information well, pay attention to details, and have a good attitude and work ethics, and a true team player in getting tasks at hand completed in a timely manner.

Required qualifications:

• No previous experience required – on the job training will be provided
• Proficient computer skills (Microsoft Office – email, basic Excel, Word, and PowerPoint)
• Excellent communication skills
• Professional, reliable, responsible, dependable, etc

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Commercial Airplanes is excited to offer opportunities for an Inspector Tooling and Machined Parts to join our Quality team in Puget Sound in Washington.

As an Inspector for Tooling and Machined Parts, you will be essential in ensuring the highest standards of quality and safety in our manufacturing processes. Your keen attention to detail will enable you to conduct thorough inspections of tooling and machined parts, verifying compliance with stringent specifications and quality standards. To excel in this role, it is important to note that employees must pass visual acuity and color perception eye examination tests to ensure accuracy in evaluations. You will collaborate closely with engineering and quality assurance teams to identify and resolve any discrepancies, ensuring that all components meet operational requirements. Your expertise will also be critical in performing audits and surveillance of manufacturing processes, contributing to continuous improvement initiatives.

You will play a critical role in upholding our commitment to safety and quality standards, ensuring that all operations meet regulatory compliance and operational excellence. If you are detail-oriented, possess strong technical skills, and thrive in a collaborative environment, we invite you to apply and be a part of our mission to deliver excellence in aviation.

Position Responsibilities:

• Obtain daily work assignments from the team leader or supervisor and review work orders and blueprints to determine required tasks.

• Inspect preparatory cleaning, application of sealant, protective coatings, and leak detection coatings of integral fuel cells.

• Perform and witness leak checks, determining the source of leaks and evaluating the extent of repairs required.

• Collaborate with Engineering, Quality, and Manufacturing to evaluate and coordinate improvements in build processes and defect reduction initiatives.

• Initiate and document any nonconforming materials or assemblies according to specifications and procedures.

• Conduct audits and surveillance of manufacturing and quality assurance processes to ensure compliance.

• Use precision measuring instruments and shop mathematics to verify that all parts and assemblies meet quality requirements.

• Review manufacturing plans and other documentation for completeness and compliance, identifying any discrepancies.

• Inspect mockups of engineering design changes to ensure adherence to specifications.

• Perform line checks to investigate whether rejectable conditions exist on other assemblies or airplanes.

• Indicate Quality Assurance acceptance by stamping the appropriate paperwork and processing completed records.

• Review previously accepted systems, customer requirements, or FAA conformities to determine if re-inspection is required.

• Work with engineering and the FAA on red label equipment to ensure proper segregation from production parts.

• Document discrepancies and report them to the appropriate personnel for resolution.

• Assist in the training and instruction of lower-grade inspectors, providing guidance as needed.

Physical Demands and Potential Hazards:

• Perform physical tasks that include lifting weights ranging from 10-15 lbs. to 15-35 lbs.

• Engage in various movements such as reaching, handling, turning, twisting, lifting, lowering, climbing, balancing, bending, kneeling, crouching, and squatting.

• Work in environments that may involve contact with metals, solvents, and coolants.

• Operate in proximity to moving parts and tools, sharp cutters, and potential slipping hazards.

• Adapt to varying noise levels and atmospheric conditions.

• Utilize personal safety gear to protect face/eyes, hands/arms, and feet while performing job duties.

This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options.

This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee

Current Boeing employees working in Puget Sound must submit an Employee Request Transfer (ERT) to be considered in the eligible candidate pool. Resumes of current Puget Sound Boeing employees submitted via Careers at Boeing will not be considered.

Basic Qualifications:

• 3+ years of experience reading and interpreting engineering drawings and specifications (e.g., blueprint/schematic reading, specification, change, design).

• 3+ years of experience in setting and using precision measuring tools and equipment such as micrometers, calipers, and/or dial indicators.

• 1+ years of experience calibrating and/or using coordinate measurement machines, laser trackers, and/or optical measurement devices.

• Experience as a Quality Inspector.

• Experience working with Microsoft Office (Excel, Word, PowerPoint).

• Ability to walk constantly throughout the workday; stand 6-8 hours per day; climb or work from stairs/steps up to 8 hours per day; climb ladders; bend and twist frequently up to six hours per day; squat and kneel.

• Ability to complete Fall Protection Training.

Preferred Qualifications:

• Experience inspecting welds / welds certification

• Equivalent education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.)

Typical Education & Experience:

High school graduate or GED preferred.

Relocation:

• Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union Representation Statement:

This is an hourly position governed by the International Association of Machinists (IAM-751) Collective Bargaining agreement.

Shift Work Statement:

• This position is for a variety of shifts

Total Rewards & Pay Transparency:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay: $31.32/hour, with potential to earn up to $59.47/hour in accordance with the terms of the relevant collective bargaining agreement.

Applications for this position will be accepted until Mar. 27, 2026

Language Requirements

English Preferred

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for variable shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Perform routine and non-routine cleaning tasks along with other staff on Meltblown equipment assuring their ongoing cleanliness

Ability to set-up, operate and troubleshoot and/or make proper machine adjustments to the process to produce quality product that meets and/or exceeds customer expectations

Understand and be able to do basic upkeep and troubleshooting on the following equipment:

• Meltblown machines in total including all sub-systems
• TSI Testers
• Cutters
• Presses
• Resin drying equipment
• Resin mixing equipment
• Silo and sensor for silo depth

Collaborate with and support engineering from Neillsville and Stoughton with new processes and products

Directly engage engineering and maintenance in a timely manner to assist with issues

Assist in creation of documentation for existing and new processes and procedures

Properly complete all documentation within the department including quality records, maintenance logs, production logs, 5S scores, etc as directed

Understand and apply media specifications as needed to maintain product quality.

Assist in managing scrap amounts by promptly addressing causes of scrap including involving engineering or maintenance

Calibrate machines and testing equipment per schedule and as needed, perform quality test procedures as required.

Support and maintain OE initiatives throughout designated work area

Responsible for completing weekly and monthly Preventative Maintenance on equipment.

Apply all safety, quality, ITAR, and other plant processes and procedures to the products

Keep department organized and focused to meet production demands (5S Sort, Straighten, Shine, Standardize, Sustain)

Communicate effectively with department, maintenance, engineering, plant leadership, and any other co-workers

Demonstrated ability to perform critical job functions (as outlined above) and train new employees in the department.

Other duties as assigned by the team leader or manager

Ability to follow directions, read blueprints, job data sheets, safety instructions, etc

Good written and oral communication skills

Must be a quick learner with strong problem solving skills

Must be very adaptive to change and be an active change agent

Must be motivated and self-driven, able to work with minimal supervision

1-2 years experience working in a similar position is preferred

Must be able to walk/stand at least 75% of the time including during required overtime hours.

Must be able to lift up to 35 lbs

Health, Safety & Environmental (HSE) Stop work and immediately report any major injury hazards. Report any work-related injury, illness, incident or hazard. Comply with HSE standards, policies, procedures & regulations. Use appropriate personal protective equipment. Promote interdependence by looking out for one another. Correct hazards within your control and capabilities. Recognize how your work may impact the environment and work to minimize the negative impact. Engage in HSE Training.

Quality Follows all applicable standard work, process documentation and quality procedures such as Statistical Process Control (SPC), poka-yoke and visual standards. Raises issues to minimize cost and quality exposures. Performs quality inspections. Identifies and controls non-conforming material.

Delivery Operates manual and automated equipment to manufacture and assemble product in order to create the proper characteristics and dimensions necessary to meet customer expectations. Demonstrates a high level of competency in core work skills. Achieves production goals. Works at the required cycle time or defined engineering standard. Maintains clean and orderly work area, including routine housekeeping tasks and machine cleaning tasks and performs planned operator care and maintenance tasks. Remains flexible and performs other miscellaneous duties, as required, to meet production goals. Works with peers, skilled trades and support staff to maintain and identify equipment needing repair.

Teamwork Communicates effectively with the assigned team and with all support teams. Completes training and personal development in line with business requirements. Participates actively in ways to improve quality, safety, process, material flow, and employee development.

We are deliberately working towards a brighter future. Our daily actions consider what is important to our people, our customers and our planet. We are focused on performance, durability and sustainability to serve the world better.

Job Identification 1389

Job Category Manufacturing

Locations 1401 E Division Street, Neillsville, Wisconsin, 54456, US

• With minimum assistance from Lead, the operator will perform all standard set up within standard time on router; operating, troubleshooting, and machine service as required.
• Adjust machining parts, tooling, including sharpening tools on surface grinders or pedestal grinders.
• Set-up and operation of equipment - Multiple Spindle (Davenport/Chucker).
• Responsible for producing and maintaining high level quality parts per print specifications.
• Work with various types of material such as Titanium, Aluminum, and other stainless steel.
• Perform first piece verification process per part print as required.
• Run multiple machines as required which maintaining high quality parts, efficiency, and productivity per standard time on router.
• Perform Preventative Maintenance per daily schedule.
• Take initiative to perform daily 5S in assigned area and machinery.
• Active involvement in autonomous maintenance and process improvements initiatives.
• Understand and perform statistical process control.
• Perform other duties as assigned to meet facility goals.
• Follow EHS Policies, Procedures, and report all incidents/injuries immediately.
  

• High school diploma or GED.
• 2-years' experience operating machinery.
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
  

Engineering Technician (Firearms R&D)

Youngsville, NC | Full-Time | On-Site | Hourly

Bachstein Consulting is growing, and we’re looking for a hands-on Engineering Technician to support our firearms research, development, and testing efforts.

This is a shop-based, hands-on role working closely with engineers to build prototypes, assemble test hardware, support range testing, and keep development programs moving quickly. Our in-house machine shop supports rapid iteration and low-rate production, allowing ideas to move quickly from concept to functional hardware.

This role is best suited for someone who enjoys building, troubleshooting, and working with mechanical systems in a fast-moving development environment.

Key Responsibilities

• Assemble and modify prototype firearm components and test hardware
• Support engineering test setups and range testing activities
• Troubleshoot mechanical issues during prototype builds and testing
• Maintain and organize parts, components, and test equipment
• Assist engineers with prototype fabrication and development work
• Record and document test observations and hardware changes
• Help prepare and ship components for outside processing when needed
• Maintain a clean and organized work environment in the shop and lab

Required Qualifications

• Eperience assembling or troubleshooting mechanical systems
• Comfort working with hand tools and precision measuring tools
• Ability to work safely and carefully around firearms systems
• Strong attention to detail and organization
• Ability to follow technical instructions and work independently

Preferred Experience

• Experience working in a machine shop, prototype shop, or engineering lab
• Familiarity with firearms platforms and mechanical operation
• Experience with prototype assembly or engineering test environments
• Experience using precision measurement tools (calipers, micrometers, gauges)

Ideal Candidate

• Hands-on problem solver
• Mechanically inclined and comfortable building things
• Detail-oriented and safety-minded
• Reliable and able to work independently
• Interested in firearms design and development

Work Environment

This is an on-site, hands-on role in a small engineering-driven team. Work will include time in the machine shop, lab, and test environments supporting prototype development and firearms testing.

Veterans Encouraged to Apply

Veterans with experience in military weapons systems, armory work, maintenance, or technical specialties are strongly encouraged to apply. Many of the skills developed in military service translate directly to this type of hands-on engineering support role.

Compensation

• Hourly position. Compensation is competitive and based on experience.

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

TekPro is partnered with a precision machining manufacturer in the Chicago area that is looking to add a Process Engineer to their team. Our client offers modern CNC equipment, a clean and organized facility, and the opportunity to work on complex precision machined components.

This role is ideal for someone with experience in a precision machining environment who enjoys developing manufacturing processes, working with engineering and production teams, and supporting the launch of new parts into production.

Key responsibilities include:

• Developing detailed manufacturing process plans for new parts using SolidWorks for modeling and drafting and Visual Manufacturing (ERP) for documentation
• Reviewing customer purchase orders, drawings, and specifications to ensure all requirements are incorporated into the manufacturing process plan
• Ensuring manufacturing process plans comply with all drawing, purchase order, and specification requirements
• Reviewing existing tooling and gage inventory for use in the manufacturing process
• Designing and ordering new tooling when necessary
• Working closely with manufacturing teams to troubleshoot and resolve production issues as they arise
• Supporting continuous improvement of manufacturing processes and production efficiency

If you have experience in manufacturing engineering or process engineering within a CNC machining environment and are interested, apply now to learn more!

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Duration: Permanent/Full-time

Client: One of the largest Diesel Engines and Power Generators manufacturers in the US

Overview:

We are looking for an Industrial Machine Repair Technician III who troubleshoots, assembles, installs, tests and maintains mechanical systems using all necessary tools to keep equipment available and capable. Learns and understands the protocols of working safely with electricity and other energy sources with industrial equipment. May work independently and instruct or coach others.

Duties:

• Strengthen equipment reliability by expertly troubleshooting, assembling, installing, and maintaining mechanical systems to keep production running smoothly.
• Elevate workplace safety by proactively identifying hazards, stopping unsafe work, and modeling strict adherence to HSE protocols and PPE requirements.
• Improve environmental stewardship by recognizing how daily tasks affect the environment and consistently acting to reduce negative impact.
• Enhance product quality through meticulous craftsmanship, precise use of technical documentation, and thorough inspections that prevent defects and reduce cost exposure.
• Boost operational performance by executing preventive, corrective, emergency, and predictive maintenance that minimizes downtime and supports production goals.
• Develop team capability by coaching less experienced technicians, sharing knowledge, and serving as a trusted resource for troubleshooting and best practices.
• Drive process improvement by identifying constraints, solving recurring problems, and contributing to continuous improvement and TPM initiatives.
• Strengthen team cohesion by communicating clearly, collaborating across support groups, and actively engaging in training and personal development to support collective success.

Qualifications:

• At least 7 years of experience in a relevant trade field, or A Journeyman Trade Certificate with relevant experience, or A 2-year technical degree in a related field, plus 3 years’ experience working in the Machine Repair/Industrial Electrical field.
• Knowledge of mechanical systems including hydraulics, pneumatics, conveyance systems, CNC equipment, and automation required.
• Responsible for completing machine layouts and machine installations.
• Relevant Experience may include: Controls Engineering, Industrial Automation, Robotics, Residential or Commercial Electrical, Heavy Duty Equipment Maintenance, Welding and Fabrication, Machining, and Farming and Agricultural work, specifically maintenance and repair of equipment etc.