Operations engineer jobs in Fremont, CA - 6,195 jobs

Machine Learning Researcher / ML-Ops Engineer About Rivet Rivet is an American company building integrated task systems - fusing hardened hardware with software, sensors, AI, and networking - for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world's toughest environments. We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority. At Rivet, you'll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve. Who Thrives Here People with a deep disdain for bureaucracy, empire building, groupthink, dogma, corporate babble, and wasted time Teammates who want to work exclusively alongside others at the top of their field Experienced, no-nonsense professionals who are execution-focused and deliver high-quality solutions above all else Role Description We are seeking a talented ML Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting‑edge research with practical implementation of machine learning pipelines for imaging, pose estimation, and model optimization. The ideal candidate will have strong expertise in Python, deep learning frameworks, and experience deploying ML models in production environments. You'll explore new ideas, validate them against the state of the art and deliver working prototypes that influence our product and research direction. Role Objectives Implement POCs in Python/C++ to validate ML ideas on embedded hardware Conduct research in imaging and video processing pipelines for AR/VR applications Document learnings and define clear pathways from prototype to production Research and implement model optimization techniques for edge deployment Stay current with latest developments in computer vision and machine learning literature Prototype novel algorithms and validate performance through experimentation Design and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite Optimize models for real-time performance on mobile and embedded platforms Implement MLOps best practices for model versioning, monitoring, and continuous integration Create scalable data preprocessing and augmentation pipelines Role Requirements BS with 5+ years of academic or industry experience in machine learning research or applied ML engineering with shipped or published work (or MS with 2+ yrs of the above) Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow) Experience with ML pipeline development, model deployment, and production monitoring Knowledge of quantization, pruning, and edge deployment techniques Imaging/Video Pipeline: Experience with computational photography, video processing, or camera systems Sensor Fusion & Pose Estimation: Research background in multi-sensor data fusion, tracking, or SLAM Model Optimization: Experience optimizing ML models for mobile/embedded deployment Foundational Knowledge (preferred understanding) Camera Systems: Intrinsic/extrinsic calibration, pinhole model, distortion correction, FOV, color science, exposure control, stereo matching Image Processing: Demosaic, denoising, sharpening, color correction, tone mapping, gamma correction, HDR, super resolution, segmentation, white balance Computer Vision: Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms IMU & Sensor Fusion: 6DOF/3DOF tracking, gyroscope/accelerometer/magnetometer integration, sensor calibration, sensor fusion algorithms Preferred Qualifications PhD in Computer Vision, Machine Learning, or related field Publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML) Experience with AR/VR or mobile computer vision applications Knowledge of CUDA programming and GPU optimization Experience with cloud platforms (AWS, GCP, Azure) for ML workloads Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines Experience with distributed training and large-scale data processing #J-18808-Ljbffr

Orbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture & Forestry, Environmental & Emergency Monitoring, and Defense & Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally. As a Space Operations Engineer (Embedded) in our Payload Engineering Team, you will be working on creating the services to control our satellites. Reporting directly to our VP of Payload Engineering and working closely with our Analytics, Software and Product Teams, you will help build out the tools, processes and products critical to our customers' success. What you'll do Model tasking scenarios for a constellation of hyperspectral satellites Perform trade studies on orbit positioning and maneuvers to maximize satellite coverage Interface with the operations and software team to successfully execute targeted tasking with multiple space-based sensors Test operations plans on ground hardware testbeds, and improve ground software test processes Work with the OSK product team to deliver high fidelity constellation tasking plans Verify and validate tasking plans and spacecraft health and status Troubleshoot and resolve payload on-orbit anomalies and findings Optimize camera and optical systems to extract critical insights Develop detailed understanding of onboard flight software hardware and software interfaces Work with OSK's algorithm team to implement onboard algorithms to high‑bandwidth data streams Develop OSK's data ingestion and processing capabilities for satellite as well as aerial hyperspectral images Work with GPU cores to implement on‑the‑fly data corrections using a neural network Incorporate payload and spacecraft bus command and control schemes What you'll have BS in Aerospace/Mechanical/Astronautical Engineering or Computer Science 3+ years of experience in the Aerospace/Space industry Strong skills in C, C++, Linux Operating System on ARM Spacecraft operations experience, downloading and uploading spacecraft control parameters Ability to code in Python for scripting, automation and algorithm integration purposes Experience using software APIs to receive and send telemetry data Knowledge of embedded communication protocols to control hardware sensors Strong skills in data processing pipelines and algorithm runtime optimization You'll stand out as a candidate if you have MS in Aerospace/Astronautical Engineering or Computer Science Familiarity with scalable software solutions Health and Status monitoring of software systems Firm understanding of optics, optical alignment, and spacecraft control Experience with remote sensing data Expertise in Python and C++ software development $100,000 - $160,000 a year Orbital Sidekick's compensation packages are determined based on multiple factors including business requirements, experience and location. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal‑opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. #J-18808-Ljbffr

About the Role ML Ops Engineer - Agentic AI Lab (Founding Team) - Location: San Francisco Bay Area - Type: Full-Time - Compensation: Competitive salary + meaningful equity (founding tier) Backed by 8VC, we're building a world-class team to tackle one of the industry's most critical infrastructure problems. Our AI Lab is pioneering the future of intelligent infrastructure through open-source LLMs, agent-native pipelines, retrieval-augmented generation (RAG), and knowledge-graph-grounded models. We're hiring an ML Ops Engineer to be the glue between ML research and production systems - responsible for automating the model training, deployment, versioning, and observability pipelines that power our agents and AI data fabric. You'll work across compute orchestration, GPU infrastructure, fine-tuned model lifecycle management, model governance, and security. Responsibilities Build and maintain secure, scalable, and automated pipelines for: LLM fine-tuning, SFT, LoRA, RLHF, DPO training RAG embedding pipelines with dynamic updates Model conversion, quantization, and inference rollout Manage hybrid compute infrastructure (cloud, on-prem, GPU clusters) for training and inference workloads using Kubernetes, Ray, and Terraform Containerize models and agents using Docker, with reproducible builds and CI/CD via GitHub Actions or ArgoCD Implement and enforce model governance: versioning, metadata, lineage, reproducibility, and evaluation capture Create and manage evaluation and benchmarking frameworks (e.g. OpenLLM-Evals, RAGAS, LangSmith) Integrate with security and access control layers (OPA, ABAC, Keycloak) to enforce model policies per tenant Instrument observability for model latency, token usage, performance metrics, error tracing, and drift detection Support deployment of agentic apps with LangGraph, LangChain, and custom inference backends (e.g. vLLM, TGI, Triton) Desired Experience Model Infrastructure: 4+ years in MLOps, ML platform engineering, or infra-focused ML roles Deep familiarity with model lifecycle management tools: MLflow, Weights & Biases, DVC, HuggingFace Hub Experience with large model deployments (open-source LLMs preferred): LLaMA, Mistral, Falcon, Mixtral Comfortable with tuning libraries (HuggingFace Trainer, DeepSpeed, FSDP, QLoRA) Familiarity with inference serving: vLLM, TGI, Ray Serve, Triton Inference Server Automation + Infra Proficient with Terraform, Helm, K8s, and container orchestration Experience with CI/CD for ML (e.g. GitHub Actions + model checkpoints) Managed hybrid workloads across GPU cloud (Lambda, Modal, HuggingFace Inference, Sagemaker) Familiar with cost optimization (spot instance scaling, batch prioritization, model sharding) Agent + Data Pipeline Support Familiarity with LangChain, LangGraph, LlamaIndex or similar RAG/agent orchestration tools Built embedding pipelines for multi-source documents (PDF, JSON, CSV, HTML) Integrated with vector databases (Weaviate, Qdrant, FAISS, Chroma) Security & Governance Implemented model-level RBAC, usage tracking, audit trails Integrated with API rate limits, tenant billing, and SLA observability Experience with policy-as-code systems (OPA, Rego) and access layers Preferred Stack LLM Ops: HuggingFace, DeepSpeed, MLflow, Weights & Biases, DVC Infra: Kubernetes (GKE/EKS), Ray, Terraform, Helm, GitHub Actions, ArgoCD Serving: vLLM, TGI, Triton, Ray Serve Pipelines: Prefect, Airflow, Dagster Monitoring: Prometheus, Grafana, OpenTelemetry, LangSmith Security: OPA (Rego), Keycloak, Vault Languages: Python (primary), Bash, optionally Rust or Go for tooling Mindset & Culture Fit Builder's mindset with startup autonomy: you automate what slows you down Obsessive about reproducibility, observability, and traceability Comfortable with a hybrid team of AI researchers, DevOps, and backend engineers Interested in aligning ML systems to product delivery, not just papers Bonus: experience with SOC2, HIPAA, or GovCloud-grade model operations What We're Looking For Experience: 5+ years as a full stack or backend engineer Experience owning and delivering production systems end-to-end Prior experience with modern frontend frameworks (React, Next.js) Familiarity with building APIs, databases, cloud infrastructure, or deployment workflows at scale Comfortable working in early-stage startups or autonomous roles, prior experience as a founder, founding engineer, or a 0-1 pre-seed startup is a big plus Mindset: Comfortable with ambiguity, eager to prototype and iterate quickly Strong sense of ownership - prefers to build systems rather than wait for tickets Enjoys thinking about architecture, performance, and tradeoffs at every level Clear communicator and pragmatic team player Values equity and impact over prestige or hierarchy Prior startup or founding team experience Why This Role Matters Your work will enable models and agents to be trained, evaluated, deployed, and governed at scale - across many tenants, models, and tasks. This is the backbone of a secure, reliable, and scalable AI-native enterprise system. If you dream about using AI to solve some really hard real world problems - we would love to hear from you. #J-18808-Ljbffr

About HappyRobot HappyRobot is the AI-native operating system for the real economy-a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission‑critical operations with true autonomy. Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We're starting with supply chain and industrial‑scale operations, where resilience, speed, and continuous improvement matter most-freeing humans to focus on strategy, creativity, and other high‑value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10-partners who believe in our mission to redefine how enterprises operate. We're channeling this investment into building a world‑class team: people with relentless drive, sharp problem‑solving skills, and the passion to push limits in a fast‑paced, high‑intensity environment. If this resonates, you belong at HappyRobot. Role Overview: We are looking for a Product Operations Engineer to act as the operational backbone of our product organization. This is a role for a high‑output technical individual contributor who loves discipline, structure, and execution. At HappyRobot, you will sit at the critical intersection of four key functions: Product Engineering, Deployments, Go‑To‑Market, and Operations. You are the connective tissue that ensures these teams are not just co‑existing, but synchronized. You will be a generalist execution machine, deployed to solve the most important problems blocking our velocity-whether that means refining data pipelines, structuring pricing models, or managing complex deployment logistics. Key Responsibilities: The Bridge to Deployments: act as the primary link between the Product Engineering team and the Deployment team. You will ensure the Deployment team is enabled on new features, oversee the technical feedback loop from the field back to engineering, and guarantee new releases are successfully brought to market. GTM & Commercial Enablement: Partner with GTM to drive technical enablement, support Product‑Led Sales (PLS) motions, and refine feature pricing structures. You ensure the commercial side understands the technical reality and value of what we are shipping. Strategic Intelligence & Ops: Collaborate with Data Engineering and Strategy & Ops to execute competitor analysis and market research. You will help the organization understand the competitive landscape and provide data‑backed recommendations on positioning. Metrics & Measurement: Work alongside Product Engineering and Data Engineering to define and track product and company metrics. You will get your hands dirty with raw data to ensure we are optimizing for the right outcomes. Data Labeling Operations: Manage the human element of our AI stack. You will own the coordination of in‑house labelers and external agencies to ensure high‑quality training data throughput. Who You Are: A Technical Operator: You possess a rare mix of technical literacy (you understand APIs, data structures, and engineering constraints) and operational rigor. You don't just identify broken processes; you fix them. A Cross‑Functional Translator: You can speak the language of engineers, salespeople, and operations managers. You are comfortable being the person who aligns distinct teams toward a single objective. Disciplined & Systems‑Oriented: You find satisfaction in order. You are the person who creates the documentation, builds the dashboard, and sets up the automation that prevents future fires. Driven by Impact: You are a "fixer." You don't need a perfectly defined path; you need a goal. You are happy to jump into a spreadsheet, a code editor, or a strategy meeting-whatever is required to solve the problem at hand. Requirements: 3+ years of experience in a technical or operations‑heavy role (e.g., Product Operations, Solutions Engineering, Technology Strategy Consulting, Technical Program Management, or Forward Deployed Engineering). Strong data aptitude: Proficiency with SQL and Excel/Sheets is required. Experience working in a multi‑stakeholder environment, specifically interfacing between Engineering and Commercial/Field teams. Ability to balance "big picture" strategic work (pricing, analysis) with "in the weeds" execution (data labeling, ticket management). Nice to have: Ability to write code (Python, JS) to build internal tools or automate workflows. Why join us? Opportunity to work at a high‑growth AI startup, backed by top investors. Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10. Ownership & Autonomy - Take full ownership of projects and ship fast. Top‑Tier Compensation - Competitive salary + equity in a high‑growth startup. Comprehensive Benefits - Healthcare, dental, vision coverage. Work With the Best - Join a world‑class team of engineers and builders. Our Operating Principles: Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame‑shifting - if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it - we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call - we treat it as a reflection of our standards. We aim to deliver jaw‑dropping customer experiences by being curious, meticulous, and proud of what we build - even when nobody's watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high‑speed marathon - not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density - every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A‑players want to work with other A‑players - that's how we win. First‑Principles Thinking Strip a problem to physics‑level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy‑paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible. The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller. By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer. In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data. If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through ********************** subject to the GDPR. For more information, visit ******************************** By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described. #J-18808-Ljbffr

A technology company specializing in grid management is seeking a Security Operations Engineer to safeguard its cloud-first environment. You'll lead security incident response efforts, manage EDR platforms, and ensure robust identity management. Ideal candidates have 3-5 years of experience in security operations and a strong grasp of threat detection protocols. This role offers a competitive salary and generous benefits, including health insurance and paid parental leave. #J-18808-Ljbffr

A dynamic space tech company in San Francisco is seeking a Customer Operations Engineer (COE) to enhance customer experiences during mission deployments. In this role, you will interface with customers and assist in deploying and refining mission frameworks while working closely with internal teams. The ideal candidate will have strong software skills, particularly in Python, and a minimum of three years in a space organization. Comprehensive benefits include 100% paid insurance and flexible time off. #J-18808-Ljbffr

About Us Specter is creating a software-defined “control plane” for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over their physical assets. To do so, we are creating a connected hardware-software ecosystem on top of multi-modal wireless mesh sensing technology. This allows us to drive down the cost and time of deploying sensors by 10x. Our platform will ultimately become the perception engine for a company's physical footprint, enabling real-time perimeter visibility, autonomous operations management, and “digital twinning” of physical processes. Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces. The Role Specter is hiring tough, adaptable field engineers who can bridge hands‑on installation with technical troubleshooting. You'll make sure our systems go in clean, power up on the first try, and stay online-whether that's running conduit, aligning antennas, commissioning radios, or documenting installs for regulators. This role is for doers: people who like working outside, solving problems under pressure, and leaving behind work that's built to last. If you've worked in the military, trades, or other high‑consequence environments-and you want to bring that mindset into the frontier of technology-this is the place. Responsibilities Install and commission Specter systems in the field: power, radios, antennas, and enclosures Run clean electrical and network installs: conduit, grounding, labeling, weatherproofing. Troubleshoot end‑to‑end connectivity (power, network, RF) and deliver back crisp handover reports. Work with local authorities, utilities, and inspectors to secure permits and pass inspections. Maintain accurate as‑builts, documentation, and checklists; help refine playbooks so every install gets faster and better. Support pilots and field testing; provide feedback to engineering teams on hardware, software, and process improvements. Be ready for long days, remote work sites, and hard, physical work. Desired Extras 3+ years of hands‑on experience in one or more of: electrical work, telecom deployments, small cell/private LTE/5G, data center or industrial power systems, or equivalent high‑stakes fieldwork. Strong mechanical and electrical instincts; able to safely wire, mount, and power systems. Familiarity with radios, antennas, or networking gear (LTE/5G/CBRS a plus). Comfort working at heights, with lifts, and around heavy equipment. Clean safety record; disciplined with lockout/tagout, PPE, and RF safety. Strong communication skills-clear, professional, and direct with teammates, vendors, and regulators. Valid driver's license; comfortable traveling and working off‑hours when sites require. What We Offer A chance to build mission‑critical systems at the intersection of hardware, software, and operations. Work that blends field toughness with technical challenge. A small, elite team where your impact is direct and visible. Competitive compensation and benefits. #J-18808-Ljbffr

A space technology company is looking for a dedicated individual to join their customer operations team. Your role will involve ensuring exceptional customer experiences by interfacing with clients and utilizing Cockpit's tools for mission planning. Ideal candidates should have at least 3 years of experience in the space sector and proficiency in Python scripting. The position provides a dynamic work environment with comprehensive benefits and a salary range of $100,000 - $140,000 annually. #J-18808-Ljbffr

A leading technology company in San Jose is looking for a recent graduate or PhD candidate for an AI/ML development role. The position requires backend development skills in Go or Python and understanding of LLM infrastructure. Candidates should be ready to collaborate with cross-functional teams, optimizing models for real-world deployment. This role offers competitive salary ranges based on location, benefiting from Cisco's extensive employee perks and growth opportunities. #J-18808-Ljbffr

A tech company specializing in AI is seeking a Machine Learning Engineer to enhance its platform by developing and deploying generative AI models. You will collaborate with cross-functional teams to integrate technologies, manage AI models focusing on natural language processing, and work in a fast-paced environment. A Bachelor's degree in Computer Science and expertise in Python and machine learning techniques is required. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a product mindset software engineer to join their GTM Innovation team. You will work closely with go-to-market teams to revolutionize customer engagement using advanced AI. Ideal candidates will have experience in software engineering, familiarity with APIs, and a collaborative spirit. This role offers a competitive compensation range of $255K - $405K. #J-18808-Ljbffr

A tech startup in San Francisco is seeking a Machine Learning Engineer to shape technical direction, automate ML life cycles, and contribute to the architectural roadmap. The ideal candidate has 3 to 5 years in full-stack Deep Learning and Computer Vision, prior startup experience, and expertise in end-to-end ML application development. This role offers the chance to work on significant projects with Fortune 500 companies, fostering a culture of ownership and velocity. #J-18808-Ljbffr

Plaid is hiring a Machine Learning Engineer in San Francisco! Machine Learning Engineer Job at Plaid - San Francisco LATEST DATA SCIENCE JOBS - MAILING LIST - POST A JOB - RESOURCES Plaid is hiring a Machine Learning Engineer in San Francisco! San Francisco California CA This job was posted more than 6 months ago. Find new data scientist, data engineering, and machine learning jobs here. Want more jobs? Join our mailing list to receive updates about new data science and Machine Learning Engineer jobs. LATEST DATA SCIENCE JOBS - MAILING LIST - POST A JOB - RESOURCES #J-18808-Ljbffr

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 We are looking for an Equipment Engineer with experience in equipment engineering and a demonstrated record of equipment design & equipment sustaining knowledge. The ideal candidate will be highly curious, have exceptional electro‑mechanical troubleshooting abilities, and the ability to work independently from technical documentation. The Equipment Engineer is responsible for performing preventative and corrective maintenance, troubleshooting, upgrades, and calibrations on a diverse array of novel, complex, and evolving equipment used in process development and in R&D. They will work closely with both hardware engineers and process engineers to ensure maximum up‑time for tools, to document common failure modes, and to improve equipment reliability, throughput, and process capability. Responsibilities Generate accurate and detailed documentation for facility, maintenance, and process owners: Standard Operating Procedures (SOPs), technical reports, corrective and preventive maintenance plans, and other critical documentation. Respond to tool maintenance calls and take the lead role in bringing tools up efficiently and effectively. Collaborate with engineering or other cross functional groups to investigate and resolve maintenance issues, improve equipment reliability, review procedures, and minimize equipment downtime. Establish, review regularly, and respond to SPC alerts for equipment parameters. Monitor tool alarm logs regularly and follow through for proactive actions and continuous improvement opportunities. Drive tool matching and yield improvement through design and engineering improvements. Actively contribute to continuous improvement programs to improve equipment performance and reliability; maximize Mean Productive Time Between Failure (MTBF). Define and review regularly the minimum (reorder) and maximum spares quantities on critical and long lead items to ensure inventories are at the correct level to support equipment maintenance and repair effort. Support and train maintenance personnel. Required Experience Bachelors degree and 3+ years of applicable experience. Strong understanding of wafer fabrication processes (etch, deposition, lithography, metrology, etc.). Familiarity with equipment control systems vacuum systems, robotics, and cleanroom protocols. Proficiency in data analysis, SPC, and root cause methodologies. Demonstrated technical capability and prior experience with lithography, etch, deposition, & anneal systems from OEMs manufacturers. Nice‑to‑have Comfortable with Onshape, SolidWorks, or similar software. Knowledge of vacuum systems, including helium leak detection. Familiarity with endpoint detection tools (SEM, ellipsometry, spectroscopy). Experience with OEMs like ASML, Applied Materials, Lam Research, Tokyo Electron. Working at Atomic Semi We're an early‑stage hardware startup with solid funding, world‑class advisors, 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 $115,000 - $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

Handshake is recruiting Nuclear Engineer Professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5-20 hrs. The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field. Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience in one or more of the following types of work. Design or develop nuclear equipment, such as reactor cores, radiation shielding, or associated instrumentation or control mechanisms. Monitor nuclear facility operations to identify design, construction, or operation practices that violate safety regulations or could jeopardize safe operations. Initiate corrective actions or order plant shutdowns in emergency situations. Examine accidents to obtain data for designing preventive measures. Direct operating or maintenance activities of nuclear power plants to ensure efficiency and compliance with safety standards. Design or oversee construction or operation of nuclear reactors, power plants, or nuclear fuels reprocessing and reclamation systems. Direct environmental compliance activities associated with nuclear plant operations or maintenance. Write operational instructions for nuclear plant operation or nuclear fuel or waste handling and disposal. Prepare technical reports of findings or recommendations based on synthesized analyses of test results. Prepare environmental impact statements, reports, or presentations for regulatory or other agencies. Develop or contribute to plans for remediating or restoring environments affected by nuclear radiation, such as waste disposal sites. Conduct tests of nuclear fuel behavior and cycles or performance of nuclear machinery and equipment to optimize existing plant performance. Design fuel cycle models or processes to reduce the quantity of radioactive waste generated from nuclear activities. Consult with other scientists to determine parameters of experimentation or suitability of analytical models. Recommend preventive measures in handling nuclear technology based on operations monitoring data or evaluation of test results. Discuss construction project proposals with vendors, contractors, or nuclear facility review boards. Perform experiments to determine acceptable methods of nuclear material usage, nuclear fuel reclamation, or waste disposal. Conduct environmental studies related to nuclear power generation, nuclear waste disposal, or nuclear weapon deployment. Design or direct nuclear research projects to develop, test, modify, or discover new uses for theoretical models. Keep abreast of developments in the nuclear field by reading technical journals or engaging in independent study and research. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #J-18808-Ljbffr

Wanna join the adventure? COEs ensure exceptional customer experiences throughout Loft mission deployments, leveraging deep technical knowledge to address customer objectives and serve as the primary contact for on-orbit mission execution, facilitating issue resolution and collaboration with Product teams. Working closely with customers and internal stakeholders, you'll develop and deploy missions within the Loft framework, refining Cockpit's functionality through automation and feedback interpretation to align with evolving user needs. COEs excel in software development, testing, space operations, and solutions engineering, driven by a commitment to delivering outstanding customer satisfaction. About This Role Serve as Loft's frontline interface with customers, helping them use Cockpit's tools effectively for mission planning and payload operations Work with customers and internal stakeholders to identify the lowest friction solutions to customer needs Improve Cockpit functionality as a developer through implementation improvements and automation Help translate feedback from customers into a Cockpit's feature roadmap Must Haves Minimum 3 years experience in space company or organization, with exposure to satellite operations and/or assembly, integration, and test Exposure to both ground software and flight software (note: you will not be expected to write flight software) Experience writing software scripts in Python Exposure to Docker containers as well as general DevOps exposure Preferred: Experience with GNC / Orbits Nice to Haves GraphQL UI Design Experience operating systems at scale Some of Our Awesome Benefits 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks International exposure to our team in France Fully paid parental leave; 14 weeks for primary caregiver and 10 weeks for secondary caregiver Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable $100,000 - $140,000 a year State law requires us to tell you the base compensation range for this role, which is $100,000 - $140,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, in-orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close-knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team-oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on-orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. #J-18808-Ljbffr

A pioneering AI company in the San Francisco Bay Area is seeking an ML Ops Engineer to automate model training, deployment, and governance processes. The ideal candidate will have extensive MLOps experience and be proficient in tools like Kubernetes and Terraform. This role offers a competitive salary along with equity opportunities, perfect for those looking to contribute to groundbreaking AI infrastructure. #J-18808-Ljbffr

A leading technology company in San Jose is seeking a skilled engineer to develop applications based on generative AI models such as GPT-4. This role involves collaborating with cross-functional teams to optimize performance and ensure reliability, as well as engaging in cutting-edge AI developments. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and deep knowledge of machine learning methodologies. Competitive compensation, benefits, and opportunities for growth will be offered. #J-18808-Ljbffr

A fast-paced, innovative seed-stage startup is seeking an experienced Machine Learning Engineer to join their team in Mountain View, California. This role entails developing machine learning models, building scalable infrastructures, and collaborating with internal and external partners. The ideal candidate has extensive experience in machine learning, strong technical skills, and an entrepreneurial mindset. Join Spector.ai in transforming industrial asset reliability through cutting-edge AI solutions that drive autonomy and innovation. #J-18808-Ljbffr