Manufacturing engineer jobs in Concord, CA - 5,669 jobs

Arinna is building the energy core of Space 3.0 and frontier tech. We're pioneering ultra-light, power-dense solar platforms based on next-generation 2D semiconductors, enabling a step-change in how and where solar power can be deployed - from satellites and high-altitude aircraft to lunar and Martian infrastructure. Spun out of Stanford University, Arinna combines breakthroughs in materials science, device physics, and scalable manufacturing to deliver the most power-efficient and lightweight solar technology ever built. With over $370M in LOIs/off-take agreements and a clear roadmap from pilot (2026) to gigawatt-scale production by 2030, we're on a mission to power the next generation of space and terrestrial systems. We're backed by leading deep-tech investors and advised by industry pioneers. Our headquarters and pilot facility are in South San Francisco, CA, where we're scaling our team across R&D, manufacturing, and systems integration. About the role The Head of Manufacturing will be one of Arinna's first technical leaders and a key contributor to the design and scale‑up of our coating processes. You will transform lab‑scale ink formulations into uniform, functional thin films that form the foundation of Arinna's photovoltaic architecture. Your work will center on developing and optimizing slot‑die, blade, and related coating methods for solution‑processed semiconductors and charge‑transport layers. You'll collaborate closely with materials and device teams to link film quality to photovoltaic performance and guide the transition from R&D to pilot‑line production. What You'll Do Develop, refine, and scale solution-based coating protocols (slot-die, blade, micro-gravure, etc.) for multilayer PV films. Translate ink formulations into high-quality coatings with controlled wetting, drying, thickness, uniformity, and continuity. Characterize thin films for their optical (UV/Vis, ellipsometry, etc.), electrical (4-point probe, Hall effect measurement, kelvin probe, IV, etc.) and physical (AFM, SEM, profilometry, etc.) properties to guide process optimization. Study the influence of ink chemistry and rheology, substrate surface energy and ink wetting, drying kinetics, and post‑deposition processing on film continuity and performance. Collaborate with device and materials teams to link material inputs and deposition parameters to photovoltaic metrics (Jsc, Voc, FF, stability, etc.). Help design and scale experimental setups - including deposition/drying systems (IR/convection drying, air-knife systems, and web handling, etc.) as well as film characterization systems. Document process parameters, yield data, and continuous-improvement learnings in a reproducible framework. Contribute to safety, workflow, and process documentation as Arinna scales toward pilot‑line production. Qualifications M.S. or Ph.D. in Materials Science, Chemical Engineering, Applied Physics, or related field. 5+ years of hands‑on experience with solution‑processed thin‑film deposition (slot-die, blade, spin, or similar). Proven ability to produce continuous, uniform thin films ( Strong understanding of wetting, viscosity, solvent systems, and drying kinetics in thin‑film processing. Experience with photovoltaic or semiconductor thin‑film materials strongly preferred. Familiarity with scaling processes from lab to pilot and integrating process control and in‑line metrology. Comfort working in a startup R&D environment - self‑driven, experimental, and hands‑on with equipment. Excellent communication and data documentation skills; ability to work cross‑functionally with materials, process, and device teams. Experience leading high‑performing technical teams. What Defines Success at Arinna Excellence in Execution: You bring rigor, precision, and attention to detail to every experiment. Collaborative Energy: You elevate those around you through positive engagement and open communication. Candor and Trust: You communicate with clarity and integrity to enable faster iteration and collective learning. Curiosity and Adaptability: You embrace the unknown as an opportunity to explore, experiment, and improve. Mission Focus: You are motivated by impact and driven to help build technology that advances the clean energy future. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a Display Optical Engineer to lead the design and development of next-generation display technologies. This role involves managing technology development from concept through prototyping to final products, working closely with multidisciplinary teams. Ideal candidates should possess strong optical design skills, experience with lab equipment, and the ability to analyze complex problems. The position offers a competitive salary and comprehensive benefits including stock options and educational reimbursements. #J-18808-Ljbffr

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a senior automation and controls engineer to design and implement cutting-edge robotic automation systems. You will work alongside our robotics and machine learning engineers to deploy the Skild Brain into a wide variety of production settings. You will also help create automated solutions and testing systems to help us scale our robot fleet. Your work will directly impact the large scale integration and adoption of our general purpose robotic brain for practical economic problems around the world. Responsibilities Design, implement, and maintain automation solutions leveraging our AI models for various real-world problems Develop solutions leveraging PLCs, vision sensors, and/or other systems to assist with large-scale robot brain deployment and testing to help us improve our models Collaborate with robotics and machine learning engineers and scientists to integrate our existing robotic stack into production environments Preferred Qualifications More than 3+ years of industry experience Degree in ME/EE/Robotics/Controls or equivalent experience. Very comfortable with PLCs, vision, sensors, actuators, and end-to-end component integration Built, launched, and sustained production automation and robotic systems on real lines Knowledge of industrial standards and plant protocols Strong systems-level understanding of the various software modules and their interfaces in typical robotic applications Base Salary Range $100,000 - $300,000 USD #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: At Crusoe Energy Systems, our Site Reliability Engineering (SRE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The Storage-focused SRE role is responsible for ensuring the availability, performance, and scalability of Crusoe's cloud storage products and services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant storage systems at scale. What You'll Be Working On: In this role, you will build automation and self-healing tools to monitor and maintain Crusoe's distributed cloud storage infrastructure, which includes block, file, and object storage systems. You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will help implement and maintain high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters. Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets. You'll investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling, while also partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. Additionally, you will contribute to the architecture of fault-tolerant, scalable storage backends tailored for AI-first cloud environments. What You'll Bring to the Team: 5+ years of professional experience in SRE, systems, or storage engineering. Hands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS) and deep understanding of object, block, and file storage paradigms. Proficiency in a programming language such as Python, Go, Java, or C. Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet. Deep knowledge of Linux internals with a focus on I/O subsystems, memory management, and storage scheduling. Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF. Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker). Excellent incident response, troubleshooting, and documentation practices. Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure) Excellent communication skills Must be able to pass a background check Embody the Company values Bonus Points: Contributions to open-source storage projects or the Linux storage stack. Experience with hybrid storage models across on-prem and cloud environments. Familiarity with high-throughput network topologies for storage backplanes (e.g., RoCE, RDMA, InfiniBand).. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

About Sorcerer Sorcerer is deploying a global network of persistent airborne sensors to fuel weather forecasting. Our high-altitude balloons collect 1000x more data than existing systems and are already used daily by meteorologists to track extreme weather across the US and Central America. We are a well-funded early-stage Y Combinator backed startup based in San Francisco, CA. This is an opportunity to join at an early stage, where you have an outsized impact across the company every day. About the role As a Manufacturing Engineer at Sorcerer you'll be responsible for developing manufacturing tooling and processes for both our vehicle and avionics hardware. We are rapidly scaling our sensing network to hundreds of active flight systems making this an incredibly important role with runway for huge and immediate impact. Responsibilities Develop avionics manufacturing and test fixtures Work within engineering team to refine designs for manufacturability Develop assembly procedures and test plans Assemble and test production flight hardware when needed Required Skill & Experience Ability to troubleshoot electronic systems Experience with test automation frameworks (e.g., Open HFT, Pytest) Highly proficient in soldering and assembly Ideal Candidates Have experience managing supply chains and PCBA contract manufacturing Have experience working with plastic films Have experience working in startups and small independent teams Succeed with a high level of autonomy Location This is an in-office role at our HQ in SoMa, San Francisco Benefits 401k Unlimited PTO 100% Health, Dental, Vision Company paid life insurance All relocation costs covered (if applicable) Catered lunch every day Fully-stocked office kitchen Commute/parking stipend OR monthly proximity benefit if you relocate to within 30m walk of the office Hiring exceptional people is our top priority, and we believe that exceptional people often have unusual backgrounds. Don't be discouraged from applying if you don't hit every qualification. We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. #J-18808-Ljbffr

A tech company focused on hardware innovation is seeking a Manufacturing Engineer to bridge hardware design and scalable production. This critical role involves collaborating with engineers for manufacturable and reliable products, managing inventory systems, and implementing quality processes. Candidates should have over 3 years of experience in manufacturing engineering and a strong understanding of DFM/DFA principles. This position offers an opportunity to work at the intersection of design and production in a fast-paced environment. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

A tech startup focused on CAD intelligence is seeking a talented individual to own the creation and refinement of computational geometry features using Python and C++. You'll collaborate closely with engineers and gain insights from customers to shape the product roadmap. The role offers a generous equity package, opportunities for growth, and relocation assistance to San Francisco. Excellent communication skills and experience with reinforcement learning algorithms are required. #J-18808-Ljbffr

Mill is all about answering a simple question: how can we prevent waste? Less waste can save time, money, energy, maybe even our planet. And there's no better place to start than food. Food waste is one of the most solvable climate problems facing us today. Plus, our trash really stinks. It's gross, heavy, and our least favorite chore. At Mill we are striving to build a better environment for all, as we take on climate and kitchen change. As a member of Mill's Product Design Engineering team you will be part of a cross functional team to design, validate and ship Mill's hardware products. You will work closely with other members of the PD team as well as cross functional groups including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations. Objectives of this role: Design mechanical systems to balance complex tradeoffs between cross functional teams including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations Generate detailed CAD models, specifications and documentation Prototype, Test and Analyze component and system designs Validate and system performance and iterate designs to achieve targets Create predictive models and correlate with real world performance Perform root cause analysis of performance failures and drive corrective actions Work directly with the supply chain to ensure parts are properly manufactured and assembled. Qualifications BS degree in mechanical engineering or equivalent 2 + years experience working in mechanical product design. Consumer Electronics or Home Appliance industries are preferred Expertise in CAD modeling, experience with NX is preferred. Detailed knowledge of plastic and metal part manufacturing processes Solid understanding of product design concepts including Design for Manufacturing (DFM), Design for Assembly (DFA), Tolerance Analysis Demonstrated ability to apply engineering fundamentals to find simple solutions to complex problems A strong desire to work hands-on Strong communication skills The estimated base salary range for this position is $150k to $175k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. #J-18808-Ljbffr

A well-funded startup is seeking a Machine Learning Engineer to develop and deploy models for parsing complex documents. The candidate should have at least 1 year of experience in training and deploying machine learning models. This role involves working closely with founders and customers and will require strong Python skills and knowledge in computer vision. The position is based onsite in San Francisco, offering the opportunity to contribute to an innovative product in the AI domain. #J-18808-Ljbffr

A cutting-edge semiconductor startup in San Francisco is seeking an experienced electron optics engineer to design and prototype precision beam transport systems for semiconductor tooling. Ideal candidates have extensive hands-on experience with electron or ion beam systems and a solid understanding of charged particle optics. The role offers a competitive salary ranging from $125,000 to $188,000, along with generous equity and benefits package, including health insurance and paid time off. #J-18808-Ljbffr

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

FranklinWH is a rapidly expanding company determined to become the leader in the global energy home storage system (ESS) industry. FranklinWH offers whole home energy solutions typically coupled with solar PV systems, bringing households into the modern all-electric future. Though founded by experts in power electronics, BMS and EMS, FranklinWH is equally focused on energy management software while also providing top level service to our partners and customers. FranklinWH is expanding its global footprint, relying on an industry leading supply chain. This is an exciting time to be at a fast-growing company in a fast-accelerating industry. We are seeking a skilled Controls / Automation Engineer to support and optimize our manufacturing automation systems. This role involves PLC and HMI/SCADA programming, system commissioning, troubleshooting, and collaboration with cross-functional teams and vendors. The ideal candidate brings hands-on experience in industrial automation, strong problem‑solving skills, and the ability to support the rapid ramp‑up of our production lines. Responsibilities Resolve daily software issues and implement continuous system optimizations and upgrades to enhance production line performance and reduce dependence on the equipment manufacturer. Collaborate with the equipment vendor to ensure a thorough handover and knowledge transfer for seamless operations. Participate in equipment commissioning and familiarize with systems for the development of the second production line, supporting a smooth and rapid ramp‑up. Qualifications And Experience Bachelor's degree in Electrical, Control Systems, Mechatronics, or related engineering field. 5+ years of direct controls engineering experience in a manufacturing automation environment. Demonstrated expertise with Siemens PLCs (S7 series, TIA Portal, Safety Integrated). Experience configuring and debugging Cognex Vision Pro systems. Hands‑on experience with industrial communication protocols (Profinet, Profibus, EtherNet/IP, OPC UA). Motion control / servo drive / VFD experience and integration. Experience in KUKA/ABB robot operation and debugging. Strong knowledge of safety system logic, interlocks, electrical design, and best practices. Proven track record of commissioning, field debug, and production troubleshooting. Excellent documentation skills and ability to produce functional specifications, wiring diagrams, etc. Fluency in English and Chinese (both written and oral). Strong interpersonal skills to coordinate across engineering, operations, and supplier groups. Experience working with Chinese automation vendors. FranklinWH offers a competitive salary plus fully comprehensive benefits and a performance bonus package based on an annual objective achievement. This is a full-time position. Our generous benefits package includes: Benefits 401(k) Retirement Plan. Medical/dental/life/disability program. PTO, and sick days. Life insurance and long-term disability. FranklinWH is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. #J-18808-Ljbffr

A cutting-edge manufacturing innovation firm in Menlo Park is seeking a Head of Controls Engineering to design and lead complex control systems for software-defined factories. This is a pivotal role that requires 7+ years in controls engineering, knowledge in PLC programming, and experience integrating robotics with software platforms. Join us to redefine manufacturing with AI technology and be part of a growing startup culture focused on high-stakes challenges. #J-18808-Ljbffr

About Skild AI At Skild AI, we're building the world's first general-purpose robotic intelligence-systems that can robustly adapt to unseen environments without failure. We believe large-scale, data-driven machine learning is the key to unlocking widespread real-world robotics deployment. Our team spans from early-career engineers to industry veterans. While experience matters, we prioritize demonstrated ability, curiosity, and execution. We're looking for engineers who are excited to tackle unsolved problems and build systems that operate at real-world scale. The Role We're seeking a Senior Automation & Controls Engineer to design and deploy advanced robotic automation systems. You will work closely with robotics and machine learning engineers to bring the Skild Brain into live production environments. You'll also help build automated systems for testing, validation, and scaling our growing robot fleet. This role sits at the intersection of AI, robotics, and industrial automation, with direct impact on real-world deployments across multiple industries. What You'll Do Design, implement, and maintain automation systems powered by Skild AI models Develop PLC- and vision-based solutions to support large-scale robotic deployment and validation Build automated testing infrastructure to improve data quality and model performance Collaborate with robotics and machine learning teams to integrate Skild's robotic stack into production environments Support real-world deployments, system tuning, and ongoing operational improvements What We're Looking For 3+ years of industry experience in automation, controls, or robotics engineering Degree in Mechanical Engineering, Electrical Engineering, Robotics, Controls, or equivalent hands‑on experience Strong hands‑on expertise with PLCs, vision systems, sensors, actuators, and full system integration Experience building, launching, and sustaining production-grade automation or robotic systems Knowledge of industrial automation standards and plant communication protocols Strong system-level understanding of robotics software stacks and module interfaces Why Skild AI Work on general‑purpose robotic intelligence at real‑world scale Deploy AI-powered automation into live production environments Collaborate with top robotics and machine learning engineers Operate in a fast-moving, execution-focused engineering culture Play a key role in scaling intelligent robotic systems globally #J-18808-Ljbffr

A blockchain-based payment company is looking for an early Product Engineer to help partners move money on-chain. You will work with design partners to build production-ready applications. Responsibilities include delivering customer applications, building fullstack solutions, and collaborating with cross-functional teams. The ideal candidate has strong TypeScript skills, and needs to thrive in a collaborative, high-energy environment. This role is perfect for engineers aspiring to take initiative and deliver impactful solutions. #J-18808-Ljbffr

A leading AI-enabled manufacturing firm in San Francisco seeks an Automation Controls Engineer to design and develop automated solutions for robotic systems. This role involves programming PLCs, analyzing customer needs, and creating system requirements. Ideal candidates have a BS or MS in Electrical or Computer Engineering and experience with Beckhoff PLCs and Python. Join a team that values creativity and innovation in transforming manufacturing processes. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A semiconductor startup in San Francisco seeks an electron optics engineer to prototype precision beam transport systems. This hands-on role involves designing electron-optical systems and rapidly iterating on complex hardware. The ideal candidate has a degree in Physics or Electrical Engineering, with at least 2 years of relevant experience and strong skills in CAD and charged particle optics. Competitive salary and benefits offered. #J-18808-Ljbffr