Process engineer jobs in Hayward, CA - 1,858 jobs

A leading technology firm in Santa Clara is seeking a Robotics Deep Learning Expert to push the boundaries of robotics. You will work on imbuing humanoid robots with advanced capabilities, requiring strong skills in algorithm development and deep learning frameworks. The salary range is competitive, reflecting your experience and position level, and additional benefits and equity are offered. Join a team that thrives on creativity and challenge. #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

The Skywalker Sound Development Group is seeking an innovative and experienced Audio Digital Signal Processing Engineer to develop and implement advanced audio processing solutions that integrate seamlessly into modern media production pipelines. This role bridges deep DSP expertise with practical engineering skills, enabling the creation of tools and algorithms that meet the demanding standards of the film and entertainment industries. As an Senior Audio DSP Engineer, you will design and optimize audio processing algorithms while collaborating with cross-functional teams to deploy solutions using modern development practices. Your work will focus on enabling high-quality, efficient, and reliable audio workflows for applications such as speech enhancement, dynamics processing, noise reduction and spatial audio processing. This role is considered Hybrid, which means the employee will work 2-3 days onsite at our San Francisco office and occasionally from home. What you'll do Develop, implement, and optimize DSP algorithms for audio applications. Collaborate with AI/ML researchers, data scientists, and engineers to combine traditional DSP techniques with machine learning approaches. Ensure compliance with film and media audio standards, including channel formats (e.g., 5.1, 7.1, Atmos), bit depth, sample rates and timecode. Utilize collaborative development workflows, including GitLab, to manage source control and ensure clean, maintainable codebases. Leverage CI/CD pipelines for building, testing, and deploying DSP applications. Integrate DSP solutions into scalable, containerized environments using tools like Docker. Write and execute unit tests to validate algorithm accuracy and performance. Work with media-specific file containers (e.g., MXF, WAV, AIFF) and codecs, ensuring compatibility across workflows. Collaborate with cross-disciplinary teams to ensure solutions meet both technical and creative needs. Stay informed of emerging trends in audio technology, DSP, and media workflows to guide future development efforts. What we're looking for Bachelor's Degree in Electrical Engineering, Computer Science, or a related field; equivalent professional experience considered. Master's degree is preferred. 5+ years of experience in DSP development, with applications in media, film, or entertainment industries. Strong knowledge of digital signal processing principles, including analog and digital filtering, audio effects, spectral and spatial analysis/synthesis, perceptual audio coding, parametric audio coding and dynamics processing. Proficiency in programming languages such as C/C++, Python, or MATLAB, with experience using collaborative Git workflows. Experience with containerized deployments (e.g., Docker). Experience with optimization of processing for cloud and on-prem application deployment. Familiarity with modern CI/CD tools (e.g. GitLab CI/CD) for building and deploying software. Solid understanding of film audio standards and formats, including multichannel and immersive audio (e.g., Dolby Atmos, Ambisonics). Experience with unit testing frameworks and automated test pipelines. Preferred Qualifications Experience working with media production pipelines, including audio post-production workflows. Familiarity with audio processing libraries and plugin frameworks such as JUCE, CoreAudio, or PortAudio. Knowledge of machine learning frameworks and how they interact with DSP, such as using neural networks for audio effects. Expertise with audio file formats and metadata, including WAV, AIFF, and MXF containers. Contributions to open-source projects or published research in the field of audio DSP. Understanding of GPU acceleration for audio processing tasks. Knowledge of machine learning techniques, tools and libraries such as Pytorch. The hiring range for this position in San Francisco, CA is $117,100 to $156,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Sobre The Walt Disney Company: Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

A leading semiconductor company in San Francisco is looking for a Process Development Engineer to design experiments and develop new fabrication methods. The ideal candidate has strong cleanroom experience and a solid background in semiconductor processing. The position offers an annual salary range of $117,000-$150,000 and includes generous benefits such as medical insurance and paid parental leave. #J-18808-Ljbffr

As a Process Engineer - Project, you will be managing projects that result in a safer work environment, a higher quality product, a more efficient process, and a positive impact on the company's bottom line. You will collaborate with colleagues in other engineering functions as well as production, quality, purchasing, planning and maintenance. You will be responsible for managing the implementation of and supporting new processes, new equipment and new assembly systems. Responsibilities Project leader for implementation of new processes, new equipment and new assembly systems. Examines equipment, processes, operations, and procedures to identify improvement opportunities in areas of safety, quality, throughput, and cost. Evaluate vendor proposals for new equipment purchases. Select & implement suitable manufacturing processes and apply modern organizational principles to make products at a competitive cost. Identify & optimize current and new manufacturing processes using continuous improvement Work closely with production and maintenance to ensure equipment is operating in a like-new condition Specify tools, jigs and fixtures Project coordination and daily troubleshooting Process Development - may include Visual Work Instructions Production support and process troubleshooting. Cost (scrap, rework, cycle time, etc.) reduction Qualifications Knowledge/Experience: Minimum 2 years of experience managing the implementation of capital projects involving new equipment and/or equipment systems. CAD experience required i.e.: AutoCAD, Pro E, Solid Works Creo & AutoCAD a strong plus 2-4 years engineering project experience in a metal manufacturing environment is preferred Knowledge of equipment and systems appropriate to related discipline Knowledge of engineering principles and procedures Experience in Lean manufacturing techniques, capability studies, process mapping, FMEA, and root cause analysis Must be computer literate and familiar with Microsoft Office Skills and Abilities: Skill in applying engineering principles and procedures Skill in engineering design applications Ability to effectively communicate The desire to strive for both personal and operational excellence through a never-ending drive for continuous improvement Committed to achieving world-class performance standards Education: BS in Material Science, Mechanical, Welding, Manufacturing or Industrial Engineering or combined related experience required OR 6 years of equivalent experience with demonstrated knowledge in the field Any equivalent combination of experience, training and/or education approved by Human Resources Physical Requirements: Position involves sitting long periods, standing, manual dexterity, stooping, bending and minimal lifting MUST HAVE BS in Material Science, Mechanical, Welding, Manufacturing or Industrial Engineering or combined related experience required OR 6 years of equivalent experience with demonstrated knowledge in the field. Minimum 2 years of experience managing the implementation of capital projects involving new equipment and/or equipment systems. CAD experience required i.e.: AutoCAD, Pro E, Solid Works Creo. 2-4 years' engineering project experience in a metal manufacturing environment. Experience in Lean manufacturing techniques, capability studies, process mapping, FMEA, and root cause analysis Must be computer literate and familiar with Microsoft Office. NICE TO HAVE: Knowledge of equipment and systems appropriate to related discipline Knowledge of engineering principles and procedures #J-18808-Ljbffr

A leading AI company in San Francisco is seeking a Software Engineer to develop AI-powered manufacturing applications. You will build full-stack solutions, design distributed systems, and integrate with factory-floor systems to enhance manufacturing processes. The ideal candidate holds a Bachelor's degree in computer science and has experience in full-stack development, industrial automation, and AI model deployment. The position offers a salary range of $136,000 - $160,000 per year. #J-18808-Ljbffr

A leading rare-earth production company in San Francisco is seeking a Senior Process Engineer to lead the scale-up of production processes. The ideal candidate has over 5 years of experience in industrial plant design and a proven track record of delivering projects on time and budget. Responsibilities include optimizing metallization processes, ensuring safety standards, and coordinating with external engineering partners. Competitive compensation and comprehensive benefits, including health insurance and daily lunch, are offered. #J-18808-Ljbffr

About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining how minerals are sourced, refined, and optimized by combining deep industrial expertise with software, automation, and data-driven decision-making. Join us as we build the future of responsible mineral sourcing and supply. Role Overview Mariana Minerals is looking for a highly motivated Process Engineer to join our San Francisco Pilot Plant team. You will lead the design, deployment, and operation of first-of-its-kind refining processes for critical minerals, while also supporting development of software for automated plant optimization. This position is highly hands-on and will play a critical role in bridging R&D and Operations, ensuring processes are robust, safe, cost-effective, and suitable for commercial production. What You'll Do Work closely with Pilot Plant Technicians to operate, maintain, troubleshoot, and improve pilot-scale processing equipment Design experiments to evaluate process performance, recovery, throughput, and product quality Create and maintain key engineering and operational documentation such PFDs, HMBs, P&IDs, Operating Procedures, and Process Control Narratives Lead equipment design scopes from concept, through procurement, fabrication, installation, commissioning, and handover to Operations Work closely with cross-functional teams including R&D, commercial plant design engineers, project execution teams, and more to scale designs from lab to the pilot to production scale Work closely with the software and machine learning teams to develop and implement reactor and plant optimization algorithms What You'll Bring B.S., M.S., or PhD in Chemical Engineering or related field Minimum of 5 years of experience supporting R&D scale up, pilot plant operation, and/or commercial production in minerals processing, chemicals, specialty materials, oil & gas, or similar industry Strong understanding of reaction engineering, solid-liquid separation, leaching, solvent extraction, and/or similar unit operations Hands-on experience designing, commissioning, and starting up pilot plant or commercial scale equipment Ability to design experiments, problem-solve, and analyze complex datasets Strong commitment to Health & Safety and experience with risk management, management of change, and hazard assessment Excellent technical writing, communication, and teamwork skills Comfort working in fast-paced, cross-functional environments Why This Role Mining is one of the most operationally complex industries on earth-and one of the least digitized. Most mines run on disconnected systems, tribal knowledge, and decisions made by feel rather than data. At Mariana, you'll build the software that changes this. You'll work on autonomous haul trucks, integrated mine planning, and optimization systems that treat the entire mine as a single coordinated operation. If you want to work on hard problems with real-world stakes, this is it. What It's Like to Work Here Extreme Ownership - We take full responsibility for outcomes and drive relentlessly toward solutions. Engineer Out, Then Automate - We simplify and optimize before we scale. Share Your Legos - We collaborate openly, share knowledge freely, and help each other build better solutions. Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. #J-18808-Ljbffr

Are you tired of your good old corporate job, working on one project for half a year? Is your passion for making great infrastructure being kept in a box labeled “for later”? Do you enjoy working with smart people and do you want to make their developer experience great? Zendar is looking for an experienced Data Engineer who understands data management, ML model training workflows and their optimization, and is excited to wear multiple hats to make sure engineers stay productive and infrastructure supports them. Our team is a testament of the ability to unite engineers of different backgrounds over a common vision. We do not shy away from reality and its limitations but we also dream big. You don't have to fit in a box. We are not looking for a superhero. But we might be looking for you! Who We Are: Autonomous vehicles need to be able to understand the world around them not only in bright daylight, but also at night, when it is foggy or rainy, or when the sun is shining right in your face. At Zendar, we make this possible by developing the highest-resolution, most information-rich radar in the world. What makes radar powerful - its long wavelength which makes it robust to all sorts of weather and lighting conditions - also makes it really challenging to work with. We have used our deep understanding of radar physics to build radar perception models that bring a rich and complete understanding of the environment around the AV from free space to object detections to road structure. Check out what our technology can do here - all produced with only radar information, no camera and no lidar! Zendar has a diverse and dynamic team of hardware, machine learning, signal processing and software engineers with a deep background in sensing technology. We have a global team of 60, distributed across our sites in Berkeley, Lindau (Germany), and Paris. Zendar is backed by Tier-1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders. Who You Are: To support our growing team, we're looking for a Senior Data Engineer to elevate our processes and technologies to the next level. If you are excited about designing and managing the complex signal processing data engineering pipelines, we'd love to hear from you! We have a rapidly growing corpus of driving data, encompassing tens of thousands of kilometers of real-world driving on three continents, and a total data size of multiple petabytes. We add to that on a daily basis with data coming from our fleet of data collection vehicles. The Data team is responsible for indexing, processing, and categorizing all this data so that we make it frictionless to use it to test, train, and improve our driving models. Your responsibilities will focus on developing ETL data pipelines to guarantee data quality and to extract rich insights about the data that are available for downstream use. Some examples of data insights include categorizing driving behaviors, environments, and road user types. Our ETL pipelines are not your typical pipelines - they are robotics tasks such as vehicle calibration, driving behavior analysis, and video understanding models. You will be based in our Berkeley site but join a Data Engineering team which is distributed between Berkeley and Europe. As the 6th member of the Data team and the 3rd in Berkeley, you will have a lot of visibility and responsibility within the team. This type of environment is perfect for someone who is comfortable managing multiple responsibilities simultaneously, enjoys interacting frequently with other engineers, and is opinionated about what to prioritize and how to build things. Key Responsibilities:ML Data Management: Maintain and grow a robust and reliable data lake in GCP for our proprietary training and evaluation data. Ensure robust data quality control with carefully designed algorithms. Grow our data lookup capabilities for data selection for labeling and model training. Own data quality algorithms and actively monitor data corruption in the datalake. Support for ML Engineers: Serve as liaison to support Berkeley, Paris & German office ML engineers (Human annotation processing, data calibration, data upload issues) Setting and Maintaining Infrastructure Standards: Be a go-to resource for solving infrastructure-related challenges, fostering a culture of ownership and accountability in the team. What We're Looking For: 5+ years in Data Science, MLOps or similar Strong algorithmic and optimization skills, especially in statistics and signal processing. Deep experience with cloud computing platforms (GCP or other), production-grade database design/deployment and Cloud-native ML workflow. Broad knowledge of data engineering and MLOps tools (Lambda, Kubernetes, Terraform). Proficiency with Python and SQL queries. A proactive approach to solving problems and willingness to take on new challenges as they arise. Somebody with solid opinions based on experience, yet open-minded and flexible to find the best solution for the situation. Ability to work from the office in Berkeley at least from Tuesday to Thursday. Bonus Points: Prior experience in ADAS or sensor data processing pipelines (radar, lidar). Familiarity with Google BigQuery and related data visualization tools. Experience with production-grade serverless batch/streaming applications. Hands‑on experience in the management of large datalakes (>1PB). NoSQL database design/deployment experience. A track record of excelling in ambiguous or evolving roles. What You Would Work On: When sorting through 1000s of hours of data, understanding what is in our training data is critical! Leveraging existing camera object detection models and automating data labeling is the logical next step, significantly reducing manual effort and streamlining the data pipeline. As the research requirements change, the camera model integration needs to seamlessly adjust as well. Sensors and vehicle calibrations can drift unexpectedly, which if undetected significantly harms the quality of results. We need to automatically identify calibration drifts and correct them before data is consumed, so that data users can have high trust in the quality of the data they work with. Enriching our ground truth data with KPIs designed by the Product and push them to production. Our signal processing pipelines are using hundreds/thousands of VM hours, the monitoring of their performance can be tricky, enhancing our tooling is essential to select the next candidate for cost optimisation. What We Have To Offer: Opportunity to make an impact at a young, venture-backed company in an emerging market Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role Competitive salary and benefits Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Zendar participates in E-Verify #J-18808-Ljbffr

A technology company in San Francisco is seeking a Founding Fullstack Engineer to build scalable systems that automate complex decisions in manufacturing. Ideal candidates will have experience with data-driven agents, strong product sense, and the ability to ship production code across the stack. The role requires onsite work in SF, with a supportive relocation policy. The company is backed by leaders from top tech firms, aiming to revolutionize industrial operations. #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

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, we are building the most sustainable, AI-first cloud infrastructure, and our Compute-focused Site Reliability Engineers are the backbone of that mission. This role is centered on supporting virtualization, hypervisor, and kernel-level performance for Crusoe's compute infrastructure. You'll play a vital role in deploying and optimizing bare-metal and virtualized compute platforms, ensuring performance, security, and scale for modern AI and HPC workloads. What You'll Be Working On: In this role, you will develop automation and observability tools to monitor Crusoe's compute infrastructure, spanning from the kernel to orchestration layers. You will support and scale the company's virtualization stack, including technologies such as KVM, QEMU, and other hypervisors. Collaborating with Linux kernel and hardware teams, you'll help identify and resolve performance bottlenecks, driver issues, and optimize hardware offloads. A key focus will be on optimizing performance for AI and HPC workloads across CPU, GPU, and DPU/NIC resources. You will participate in root cause analysis for kernel crashes, hardware-software integration problems, and performance regressions, while also integrating hypervisor-level enhancements to improve guest VM reliability and workload isolation. The role involves tuning kernel subsystems such as the process scheduler, NUMA configuration, memory management, and interrupt handling. Additionally, you will work closely with platform teams to implement and validate support for emerging compute hardware, including SmartNICs, BlueField devices, and TPUs What You'll Bring to the Team: 5+ years of professional experience in Compute SRE, Linux system engineering, or compute infrastructure roles. Strong proficiency in Linux kernel internals, with exposure to scheduler, memory allocation, and driver subsystems. Experience with virtualization architectures and technologies such as KVM, Xen, QEMU, or VMware. Familiarity with SmartNICs/DPUs (e.g., NVIDIA CX6/7, BlueField-3) and kernel bypass techniques. Expert-level skills in at least one programming language: Go, C or Rust. Experience with system-level debugging, including kdump, kexec, and kernel panic analysis. Proficiency in Infrastructure as Code tooling and CI/CD practices for bare-metal or cloud infrastructure. Strong understanding of compute scheduling, resource management, and high-throughput networking. 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 pay period Compensation Range: 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 Atomic Semi Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands‑on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e‑beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the role As a Process Development Engineer at Atomic Semi, you'll be responsible for experiment design and execution of new fabrication methods. We're looking for someone with both a strong understanding of traditional semiconductor processing methods and an open‑mind to new techniques. It'll be helpful if you have the ability to digest and filter a large body of existing work (academic papers, books). This is a high‑ownership role with lots of autonomy in a fast‑moving startup environment. You'll have the opportunity to contribute to novel R&D processes and influence tool design. Candidates should have hands‑on cleanroom experience and a track record of developing and optimizing lithography recipes from scratch. Responsibilities Work in the lab to design and run experiments alongside senior process engineers Read academic papers and technical literature to inform experimental design; whiteboard ideas and iterate quickly Learn and operate a range of semiconductor tools, primarily focused on lithography systems (contact aligners, steppers, electron‑beam) Develop, transfer, and optimize process recipes across platforms with a focus on consistency, yield, and throughput Analyze process data, troubleshoot recipe or equipment issues, and clearly document findings and results for the team Required Experience BS, MS or PhD in Electrical Engineering, Materials Science, Chemical Engineering or related field. Recipe development and optimization for lithography tools. Hands‑on cleanroom experience with multiple photoresists. Hands‑on experience using a SEM. Nice-to-have Mechanical or maintenance experience with fab tools Working at Atomic Semi We're an early‑stage hardware startup with solid funding, world‑class, and a lab/office in San Francisco, CA. Compensation Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $117,000 - $150,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits Medical, Dental, and Vision insurance Generous Paid Time Off inclusive of Holidays and Sick Time Visa Sponsorship Life and Disability Insurance Paid Parental Leave 401(k) retirement plan Weekly Learning & Development opportunities Commuter Benefits including Parking and Late Night Uber rides from the office Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts 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. Export Control Analysis This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. #J-18808-Ljbffr

A leading engineering company based in San Francisco is seeking a Process Engineer to manage capital projects. Your role will involve collaborating with various teams to improve processes and quality. The ideal candidate will have a BS in a relevant engineering field and at least 2 years of experience managing projects in metal manufacturing. Expertise in CAD software like AutoCAD is required, along with a strong commitment to continuous improvement and safety protocols. #J-18808-Ljbffr

A technology-driven minerals company in San Francisco is seeking a Process Engineer to lead innovative refining processes for critical minerals. The role involves collaboration with various teams to optimize operations and develop automation software. Required qualifications include a degree in Chemical Engineering and significant experience in minerals processing or related fields. Candidates must demonstrate strong problem-solving and communication skills in a fast-paced environment. #J-18808-Ljbffr

Making the Metals Powering the World Solcoa exists to stabilize the western rare-earth metal supply chain-powering every fighter jet, EV, wind turbine, phone, and generator. We're among the very few companies outside China producing rare-earth metals-and the only one delivering a 100% U.S. supply of both light and heavy rare earths. Our carbon-zero process converts end-of-life magnets directly into metal, ready to accelerate energy independence and secure one of the world's most vital resources. We are a lean, well-funded team rapidly accelerating Western rare-earth production. We're building a world-class team to solve this crisis. The Role - Senior Process Engineer You'll lead the scale-up of our pilot into a demonstration plant, laying the groundwork for follow-on commercial facilities. You'll translate R&D into engineered processes, partner with external engineering firms/EPCs, and drive safe, on‑time construction and commissioning. What You'll Do Lead scale‑up from lab/pilot to demonstration and commercial scale for rare‑earth metallization processes. Own core process deliverables: PFDs, P&IDs, mass & energy balances, control narratives, and operating envelopes. Translate internal research into detailed engineering packages for external partners; manage scope, interfaces, and change control. Direct custom equipment specification, vendor selection, FAT/SAT, and installation through third‑party fabricators. Plan and run HAZOP/LOPA and safety reviews; implement safeguards and MOC. Coordinate with EPC contractors to ensure schedule, cost, quality, and safety targets are met through mechanical completion and startup. Develop commissioning plans, SOPs, and operator training; support ramp‑to‑rate and reliability growth. Optimize processes for yield, throughput, cost, environmental compliance, and uptime; instrument KPIs and drive continuous improvement. Navigate permitting and regulatory documentation in collaboration with EHS and external consultants. Anticipate risks and unblock issues rapidly in an agile, high‑accountability environment. What You Bring Required Typically 5+ years as a Process/Project Engineer in industrial plant design, construction, or operations (chemicals, metallurgical, electrochemical, or related). Demonstrated success scaling processes from lab/pilot to commercial scale. Experience managing and communicating effectively with engineering firms and EPC contractors. Strong command of PFDs, P&IDs, mass/energy balances, control strategies, HAZOP, and regulatory documentation. Track record delivering plants or major process units safely, on schedule, and on budget. Excellent cross‑functional communication, documentation, and project leadership. Availability to start soon. Preferred Background in high‑temperature processes, electrochemical cells, molten‑salt systems, or rare‑earth metallurgy. Familiarity with environmental/permitting frameworks for chemical/metallurgical facilities. Start‑up/commissioning experience and hands‑on time in operating plants. Working knowledge of CAD/CAE tools and data analysis for process performance. Compensation & Benefits Competitive base salary Comprehensive health, dental, and vision insurance Company‑provided lunch daily Visa sponsorship available if needed #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