Nvidia jobs in Glendale, CaliforniaCreate job alerts

The Model (Why Top Sales Professionals Join Us) At GHA Technologies, you don’t just close deals—you: ✅ Prospect and win new accounts ✅ Keep and grow those accounts for years ✅ Build a recurring, compounding income stream 👉 This starts as a hunting role 👉 Then becomes your own account portfolio and long-term income and asset growth! Financial Highlights – $5,000 Week One Training Pay and Hiring Bonus! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $1000 per virtual or onsite appointment luncheon bonus Up to $3000 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

About Flyby Robotics: Flyby Robotics builds drones with massively powerful GPU processing capabilities. Our team is crafting American-made drones that serve as open platforms for applications in machine learning, data capture, and autonomous operations. Our customers currently include leading AI developers, major US universities, cirital infrastructure customers, and US military users. We envision a future where drones computing trillions of operations per second can be deployed by hundreds of thousands across the Western world with a transformative impact across sectors, including enterprise, public safety, and defense. About The Role: You'll work with a team of engineers from Nvidia, NASA JPL, and US Navy NAVAIR to head supply chain procurement and outbound production fulfillment for our American-made drone product. Your area of ownership includes sourcing all inbound components with our suppliers, managing vendor relationships, and ensuring successful outbound logistics of manufactured drones. We’re looking for a candidate excited about enabling the manufacturing of AI-powered drones and who constantly strives to provide the parts needed to keep up with growing production demand. You will also actively seek to ensure the success of our drone manufacturing through on-time delivery, improving upon manufacturing quality and methods with suppliers, and driving down the cost per part. Prior supply chain management experience is highly desirable. This role may require short-term travel to partnered vendors to ensure the quality and maintain vendor relationships. Responsibilities: • Ownership of all mechanical, electronic, and PCB part sourcing to ensure all components are cost-efficient, high-quality, and sourced in line with our production schedule., • Manage supplier relationships, including RFIs and RFQs, and conduct supplier management from negotiating to finalizing supplier contracts., • Create cost models and data analytics to ensure sustainable long-term sourcing strategies., • Open communication with design engineers and manufacturing engineers to ensure sourced parts align with product technical capabilities in both R&D and scaled production., • Instill regular supplier business evaluation to ensure improvements in cost efficiency, exceptional quality, and on-time delivery., • Have consistent communication with both financial and engineering teams, resulting in favorable and enduring supplier relationships., • Maintain updated inventory tracking and forecasting processes., • Coordinate finished product logistics and successful fulfillment. Core Requirements: • Bachelor’s in Mechanical Engineering, Electrical Engineering, Industrial Engineering, and/or Supply Chain Management., • Holds a U.S. Citizenship or Permanent Residency Status due to ITAR restrictions, • 3+ years of supply chain experience in a rapid, dynamic manufacturing environment., • Proven ability to oversee vendor relationships, build cost models, and drive successful contract negotiations., • Strong analytical capability using data and metrics to guide sound business decisions., • Ability to read and interpret technical documents, such as wiring diagrams and assembly instructions., • Quickly grasps the technical requirements of the product, which leads to optimizing purchasing and product sourcing selections. Compensation and Benefits: • $120,000 per year annual salary., • 0.25% equity via stock options, depending on the candidate's experience., • Company holiday calendar and competitive PTO plans., • Company group health insurance plans. This is a full-time, in-person role at our Culver City facility. You'll be building something incredibly consequential. If you like to push to see what you can accomplish with your grit and ingenuity, consider applying for this role at Flyby Robotics. Flyby Robotics is an equal-opportunity employer. We do not discriminate based on race, color, religion, national origin, gender, gender identity, gender expression, age, ancestry, citizenship, sexual orientation, status as a protected veteran, or any other legally protected characteristic.

Senior Embedded Firmware Engineer Location: Los Angeles, Hybrid Salary: $170,000 - $210,000 pa + equity About the Role A venture-backed space computing startup is hiring a Senior Embedded Firmware Engineer to work on flight-critical avionics systems for orbital platforms. You'll own hardware bring-up end-to-end and work across a lean, highly technical team at a genuinely early and consequential stage of the company. Required Skills & Experience • Embedded C/C++, • Bootloaders, BSPs, HALs, and hardware-facing device drivers, • Embedded Linux, • Bare-metal and RTOS firmware, • Board bring-up, • ARM based microcontroller architectures, • Peripheral drivers and communication protocols (CAN, SPI, I2C, UART, RS485, SpaceWire, CCSDS etc.), • Hardware test & prototyping Beneficial Skills & Experience • Experience with Nvidia Jetson platforms, • Flight software architecture and FDIR concepts, • Radiation-tolerant or space-grade MCUs, • CI/CD pipelines for embedded systems If you are interested and think you have the skills required as an Embedded Firmware Engineer, please don’t hesitate to apply.

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Principal AI Solutions Architect Experience Level: 12+ years Work Location: Los Angeles, California (On-site) Role Overview: As a Principal AI Solutions Architect, you will lead the design, strategy, and technical delivery of enterprise-grade AI, GenAI, and ML solutions for our key strategic Customers. Operating at the intersection of high-level business strategy and deep technical execution, you will be responsible for transforming complex requirements into scalable, production-ready architectures on Google Cloud Platform (GCP) and AWS. While this role is broad in its architectural scope, a primary focus will be driving AI innovation for one of our major customer in the Insurance. Responsibilities: • Enterprise AI Strategy: Define and lead the technical roadmap for AI/ML adoption within large-scale enterprise environments, ensuring alignment between software capabilities and client business outcomes., • Solution Design & Blueprints: Architect end-to-end solutions using the full GCP AI stack, including Vertex AI, Gemini, BigQuery ML, and Document AI and frameworks including ADK, Langraph, etc and corresponding AWS services, • GenAI & Agentic Workflows: Design and implement Generative AI patterns,standards for RAG architectures, vector databases, observability, fine-tuning LLMs, and building autonomous agentic workflows systems involving multi-agents (including orchestration, tool integration, memory layers, reasoning frameworks, evaluation, deployment) for complex business processes, • Domain-Specific Innovation: Apply insurance domain knowledge to architect solutions for claims automation, risk assessment, fraud detection, and hyper-personalized customer experiences., • Technical Governance & MLOps: Establish best practices for the entire ML lifecycle—from data ingestion and feature engineering to model deployment (CI/CD/CT), drift monitoring and feedback loop for continuous learning., • Executive Liaison: Serve as a trusted advisor to C-suite stakeholders (CTO/CDO) at our key accounts, translating sophisticated AI concepts into actionable business value and ROI. Core Qualifications: • Experience: 12+ years of experience in software engineering and systems architecture, with at least 5 years of dedicated leadership in AI/ML production environments., • Cloud Mastery: Deep architectural expertise in cloud platforms like GCP and AWSCloud Platform. Professional GCP certifications (Cloud Architect or ML Engineer) are highly preferred., • Domain Expertise: Significant experience within the Insurance industry with an understanding of regulatory compliance and industry-specific data structures., • GenAI & Agentic Proficiency: Hands-on experience with Large Language Models (LLMs), prompt engineering, vector databases (e.g., Vertex AI Vector Search, Pinecone), ADK, Langraph., • Location: Based in or willing to relocate to Los Angeles, with the ability to be on-site at client locations What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Machine Production Technician to support the serial production of Roboform, our robotic sheet-metal forming systems. This hands-on role focuses on executing precision assembly work in a structured production environment, following standardized processes to meet safety, quality, and delivery targets. Production Technicians work closely with production leads and engineering to maintain throughput, traceability, and continuous improvement as production scales.Key Assembly-Focused Responsibilities: • Setup, operate, maintain, and support Machina Labs Roboform cells., • Perform secondary finishing operations including trimming, deburring, grinding, and coating., • Assemble mechanical frames, sub-assemblies, and complete Roboform cells using released CAD files, assembly drawings, and work instructions., • Perform HV/LV wiring, cable routing, and electrical enclosure assembly in compliance with IPC/WHMA-A-620 standards., • Install and connect hydraulic and pneumatic systems, including hose fabrication (1/4"–1"), valves, pumps, manifolds, and actuators., • Execute structural upfits and modifications (drilling, tapping, cutting, deburring, touch-up finishing)., • Safely rig, lift, and position heavy components (up to 15 tons) using forklifts, cranes, and approved lifting plans., • Execute functional testing, system integration (including Fanuc/Kuka robot setup), and verification steps to ensure cells meet production specifications., • Record assembly progress, material usage, and deviations in ERP systems to ensure traceability., • Contribute improvement feedback and support cross-training as production scales., • Follow standardized processes, contribute feedback on tooling/workflow improvements, and help train team members as production scales.Basic Qualifications:, • High school diploma or equivalent., • 1+ year of fabrication related experience (machining, welding, fitting, etc.), • 3+ years of hands-on mechanical, electrical, or hydraulic assembly experience., • Ability to read mechanical drawings, schematics, and understand geometric tolerances., • Experience with hydraulic/pneumatic systems, assembly, troubleshooting, and hose fabrication., • Proficiency with common hand and power tools., • Basic computer proficiency, including ERP systems and common productivity tools., • Effective communication skills in a team-based production environment., • Ability to pass background screening requirements (including ITAR compliance).Preferred Qualifications:, • Hands-on experience working with industrial robotic and automated systems; Fanuc or Kuka platforms preferred., • Working knowledge of CAD and PDM systems for accessing and interpreting released design files (e.g., SolidWorks)., • Certified or demonstrated proficiency in IPC/WHMA-A-620 standards for cable and harness assembly., • Proven ability to safely rig, lift, and position heavy industrial components using cranes, forklifts, or similar equipment., • Experience performing precision machining and fit-up operations, including drilling, reaming, countersinking, and tapping close-tolerance holes.Safety & Physical Requirements:, • Ability to safely work assigned shifts, including extended hours and occasional weekends, in support of production schedules., • Capability to perform repetitive tasks involving bending, twisting, and fine motor hand movements while maintaining safe work practices., • Comfort working in a manufacturing environment with exposure to shop noise, industrial equipment, and common production chemicals (e.g., coolants, solvents, cleaners, paint), using required PPE., • Ability to stand for extended periods and safely lift, carry, and handle materials or equipment up to 50 lbs. unassisted.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description Machina Labs is seeking a Production Manufacturing Technician to support the production of parts utilizing the Roboform system. This hands-on role focuses on executing precision assembly work in a structured production environment, following standardized processes to meet safety, quality, and delivery targets. Production Technicians work closely with production leads and engineering to maintain throughput, traceability, and continuous improvement as production scales. Key Responsibilities: • Set up, operate, support, and maintain Machina Labs Roboform cells., • Handle large sheet metal, including cutting materials to size using a shear, loading sheets into Roboform machines, and unloading formed parts using electromechanical clamping systems via HMI., • Record work order progress, material usage, and deviations in ERP systems to ensure traceability., • Perform secondary finishing operations, including trimming, deburring, grinding, and coating., • Follow standardized production processes and contribute feedback on tooling and workflow improvements., • Support cross-training and assist in training team members as production scales.Required Background & Experience:, • High school diploma or equivalent., • 1+ year of fabrication-related experience (machining, welding, fitting, aerospace structures, etc.)., • Strong attention to detail and quality ., • Comfortable with a mix of repetitive and new, one-off work., • Able to adapt to constantly changing work assignments and a fast-paced work environment., • Proficiency with common hand and power tools. (Ratchets, Sockets, Screw drivers, Hammers, Impact guns, Clamps, Circular and Reciprocating saws, deburr tools, handheld cut-off wheel tools)., • Ability to read mechanical drawings, schematics, and understand geometric tolerances., • Basic computer proficiency, including ERP systems, Outlook email, Teams, and common productivity tools., • Effective communication skills in a team-based production environment., • Must be available for 2nd shift (2 PM - 10:30 PM)., • Ability to pass background screening requirements (including ITAR compliance). Preferred Qualifications:, • 3+ years of experience in mechanical fabrication or production environments., • Experience with sheet metal forming, finishing, and fit-up operations., • Experience with hydraulic and pneumatic systems, including basic troubleshooting., • Experience operating CNC equipment., • Experience operating forklifts or handling large materials., • Basic electrical wiring knowledge and familiarity with sensors, PLCs, or industrial systems.Safety & Physical Requirements:, • Ability to support production schedules, including extended hours or occasional weekends., • Ability to perform repetitive physical tasks, including bending, lifting, and fine motor work., • Comfortable working in a manufacturing environment with industrial equipment, noise, and chemicals, using appropriate PPE., • Ability to stand for extended periods and lift up to 50 lbs unassisted. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking an Accounting Manager to help build and scale the accounting infrastructure that supports our next-generation robotic manufacturing platform. In this role, you will operate at the intersection of accounting and operations, developing the processes and financial infrastructure that enable accurate, timely, and scalable financial operations. You will work closely with Finance, HR, and cross-functional teams while overseeing our external accounting partner, progressively bringing key processes in-house as the company grows. This role is ideal for someone who enjoys building from the ground up - combining strong accounting fundamentals with a systems and operational mindset - while contributing to the development of a modern, scalable finance function in a high-growth, engineering-driven environment. Key Responsibilities: • Lead the monthly close process, ensuring accuracy, completeness, and timeliness of financial data, and drive close execution end-to-end., • Own and optimize the relationship with external accounting providers, progressively transitioning key activities in-house., • Manage the preparation and review of journal entries, balance sheet reconciliations, accruals, and maintenance of the Company’s chart of accounts., • Ensure integrity and consistency of financial data across systems, supporting reliable reporting and decision-making., • Partner cross-functionally with engineering, operations, and finance to support accurate billing, cost tracking, and financial operations., • Design and implement scalable processes for expense management, payroll, and financial controls, reducing manual work through systems and automation., • Support the improvement and scaling of the ERP system to enable efficient and reliable financial operations., • Build the foundation of an internal accounting function, including processes, documentation, and systems, with a path to developing and leading the future accounting team.Required Background & Experience:, • 5-8 years of progressive accounting experience., • Bachelor’s degree in Accounting, Finance, or related field., • Strong foundation in accounting principles (GAAP) and core accounting processes., • Hands-on experience with journal entries, accruals, and balance sheet reconciliations., • Experience participating in or owning the monthly close process., • Proven ability to manage and improve accounting processes in a dynamic environment., • Strong analytical, communication, and organizational skills with a focus on process improvement.Preferred Qualifications:, • CPA designation or active CPA candidacy., • Experience in a startup or high-growth environment with a focus on improving accounting processes and workflows., • Exposure to cost accounting and project-based accounting., • Familiarity with government contracting or government accounting requirements, • (e.g., FAR, cost accounting standards)., • Familiarity with ERP systems (NetSuite experience a plus)., • Systems-oriented mindset with interest in automation and scalability.

Job Description Join Serve Robotics as a Field Operations Associate! Hourly Pay: $22/hr + Benefits + Equity + Overtime Potential Are you adaptable, a team player, and ready for an adventure? At Serve Robotics, we’re transforming urban delivery with friendly sidewalk robots designed to reduce traffic and emissions, making deliveries faster and more sustainable. Imagine a city where robots bring your burrito to your door—efficiently and safely! As a Robotics Field Operations Associate, you’ll be a key operator supporting Serve’s robot delivery services and advancing our operations. From supporting in-field deployment to aiding our product development with insights, you’ll be essential to bringing our robots to the streets! What You’ll Be Doing • Execute commercial end-to-end deliveries using our Serve robots in active market areas., • Serve as the primary point of contact for field issues, maintaining smooth operations., • Assist in deploying robots to and from the field and ensure they’re maintained and clean., • Support day-to-day decision-making to prioritize resources, execute test plans, and troubleshoot field challenges., • Collect and communicate feedback to development teams, helping shape our robot and operational tools., • Experience: We accept entry level candidates with superb communication skills and a willingness to learn, • Adaptability: Comfortable in fast-paced, dynamic environments., • Multitasking: Able to handle multiple projects or tasks at any given time, • Collaboration: Strong communication and teamwork skills, able to work across teams., • Driver’s License: Valid U.S. driver’s license and comfortable with driving vans for deployment., • Physical Requirements: Able to lift up to 70 lbs and work on your feet for extended periods., • Previous experience in high-growth, fast-paced environments. Serve Robotics emerged from the team that developed the Postmates robot, completing thousands of deliveries in bustling Los Angeles. Now, as an independent company, we’re scaling fast to bring robot delivery to more people, making city life more sustainable. Serve Robotics is an equal employment opportunity employer and values diversity in our workforce. We consider qualified applicants regardless of race, color, religion, national origin, age, sex, marital status, disability, veteran status, gender identity, or sexual orientation. Company DescriptionBacked by Uber and NVIDIA, Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across multiple U.S. markets.Backed by Uber and NVIDIA, Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across multiple U.S. markets.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. About Machina Labs The Role As a Robotic Process Engineer at Machina Labs, you will play a key role in enabling RoboForming, our robotic incremental sheet metal forming process, through CAD manipulation, robot tool path generation, and process optimization. You'll work with our RoboCraftsman system and internal software stack to convert digital part designs into robotic tool paths, analyze scan and forming data, rapidly iterate on forming strategies based on real-world feedback, and support iterative development of forming strategies. This role is hands-on and collaborative, with a strong emphasis on digital tooling, data-driven improvement, and integration with advanced robotic systems.What You'll Do • Generate and modify CAD models to ensure compatibility for RoboForming., • Use internal software stack to convert CAD into robot tool paths for execution on the RoboCraftsman., • Analyze RoboForming data and 3D scan results to assess part quality and identify areas for improvements., • Design and execute structured experiments (DOE) to optimize forming parameters and tool path strategies., • Collaborate with product managers, software engineers, and manufacturing engineers to improve workflows and tool path strategies., • Contribute to technical discussions with external customers as needed to support project goals and ensure alignment, • Work autonomously and making informed decisions with limited data, then refining based on outcomes., • Document process, results, and analyses for continuous improvement for internal use.What We're Looking For, • B.S. in Mechanical, Manufacturing, Industrial, or Aerospace Engineering, or related field., • Minimum 2 years of experience (or fewer with advanced degrees) in a manufacturing, robotics, or prototyping environment., • Proficiency in CAD software (e.g., SolidWorks, Fusion 360, Rhino)., • Familiarity with CAM, tool path generation, or robot programming., • Strong data analysis skills (e.g. MATLAB, Python, advanced Excel or similar tools)., • Comfort working in open-ended problem spaces, making rapid decisions and course corrections as needed., • Strong attention to detail and ability to follow standard processes., • Comfortable working in a hands-on, fast-paced manufacturing environment., • Demonstrated ability to interface with interdisciplinary teams and internal/external project stakeholders., • Effective written and verbal communication skills., • Strong mentality toward safety and occupational hazard prevention.Preferred Qualifications, • Expertise in surface modeling using CAD., • Experience working with industrial robots (FANUC, KUKA, ABB, etc.)., • Exposure to 3D scanning, inspection systems, or metrology tools., • Familiarity with Python scripting or automation tools., • Knowledge of CNC machining, additive manufacturing, or other digital manufacturing processes., • Experience working in a production or manufacturing facility., • Experience working in a highly regulated environment (e.g. aerospace, medical, nuclear).In addition to the provided base salary range, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock OptionsMachina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability. This is a hands-on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real-world manufacturing challenges, we’d love to hear from you. Key Responsibilities: • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes., • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation., • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure., • Leverage Databricks and Apache Spark for large-scale data processing and model development., • Collaborate with cross-functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows., • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges., • Write clean, well-documented, and production-quality Python code., • Communicate findings, results, and recommendations to both technical and non-technical stakeholders., • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges., • Write clean, well-documented, and production-quality Python code., • Communicate findings, results, and recommendations to both technical and non-technical stakeholders.Required Background & Experience:, • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience., • Strong experience designing, building, training, and testing machine learning models end-to-end., • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction., • Proficiency in Python for ML development, data processing, and scripting., • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure., • Experience with Databricks and Apache Spark for data engineering and model development.Preferred Qualifications:, • Machine learning experience in CAD and computational geometry applications., • Experience working in the industrial or manufacturing space. The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position. In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. *This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems. Role Summary The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology. The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities. The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations. This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements. Key Responsibilities Architecture and Design • Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments., • Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems., • Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost., • Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization., • Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI., • Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency., • Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms., • Demonstrate hands-on experience with at least one of the following storage technologies, • VAST Data, • WEKA, • DDN, • Lustre, • NetApp, • Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets., • Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements., • Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales., • Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies., • Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms., • Ensure staff, contractors, and partners adhere to best practices and templates for AI solution delivery. Core Mastery Areas • Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms., • GPU-accelerated compute architecture for AI and HPC workloads., • High-performance networking architectures, especially with Spectrum-X., • Hands-on architectural experience with high-performance parallel or scale-out storage systems., • Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling., • NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations., • Slurm for HPC workload scheduling and resource management., • Run:AI for GPU orchestration and multi-tenant AI workload optimization., • Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads., • Linux systems administration in large-scale, performance-sensitive environments., • Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency., • Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required., • Senior individual contributor role with influence through technical authority rather than people management., • Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership., • Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks., • Ensure all technical artifacts meet One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams., • Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality., • Bachelor’s degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems on experience architecting large scale HPC or AI systems., • Advanced degree (MS/PhD) in relevant fields is a plus but not required., • Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering., • Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling)., • Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects. Powered by JazzHR Y7OkFQz1lc

Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond. The Role: We are seeking a Simulation Engineer, Omniverse Specialist to design, develop, and maintain high-fidelity simulation artifacts, digital twins, and process visualizations that support advanced manufacturing decisions across the company. This role will partner closely with manufacturing, automation, special projects, and product teams to deliver decision-grade simulations that accelerate factory design, de-risk capital investments, and improve production outcomes. What You’ll Do: * Develop, maintain, and evolve high-fidelity 3D and discrete-event simulations using NVIDIA Omniverse and related toolchains. * Create reusable simulation assets, plugins, workflows, and visualization pipelines for cross-factory use. * Translate ambiguous operational inputs (verbal descriptions, low-fidelity drawings, early layouts) into accurate, runnable simulation models. * Partner with cross-functional stakeholders (Operations, Automation, Controls, Finance, Special Projects) to define simulation requirements and success metrics. * Deliver simulation insights that inform layout decisions, throughput targets, capital planning, and risk mitigation. * Steward the simulation toolchain, ensuring scalability, maintainability, and alignment with long-term platform architecture. * Rapidly prototype models (0→1) and iterate them into production-ready, decision-grade assets. * Communicate findings clearly to both technical and non-technical audiences, including executives. * Support onboarding and knowledge transfer by documenting workflows, assumptions, and modeling standards. What We’re Looking For: * Bachelor’s degree in Computer Science, Software Engineering, Mechatronics, Industrial Engineering, or a related field (or equivalent practical experience). * 2–4 years of hands-on experience with Omniverse and/or robotics or factory simulation environments. * 2+ years of engineering experience in a factory, manufacturing, or industrial setting. * Demonstrated ability to make data-driven recommendations that improve production or operational metrics. * Experience modeling multiple process technologies and production flows based on incomplete or low-fidelity inputs. * Proficiency in Python (OOP) and/or C++, with experience using simulation or visualization APIs. * Experience working with CAD data and industrial layouts. What Will Set You Apart: * Experience with Visual Components, discrete-event simulation engines, or similar platforms. * Familiarity with Unity, Unreal Engine, Blender, AnyLogic, or Siemens Tecnomatix. * Strong industrial engineering fundamentals (line balancing, takt/cycle time modeling, throughput analysis). * Experience cleaning, parameterizing, and automating CAD assets for simulation reuse. * Background in digital twin platforms or large-scale manufacturing simulations. Compensation: For this role, the target salary range is 150k-200k (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits * Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be provided for certain situations, based on business need. * Flexible vacation policy ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Senior Industrial Automation Engineer to help design, develop, and deploy the automation systems that power our next-generation robotic manufacturing platform. In this role, you will work at the intersection of industrial automation, robotics, and software, developing control systems and automation infrastructure that enable our robotic forming cells and advanced manufacturing operations. You will collaborate closely with robotics, mechanical, and software engineers to integrate automation systems, industrial hardware, and software platforms that drive our factory of the future. This role is ideal for an engineer who enjoys working on both the controls and software side of automation, building reliable industrial systems while contributing to modern software-driven manufacturing platforms. Key Responsibilities: • Design and implement industrial automation systems on top of Beckhoff TwinCAT using Structured Text., • Develop and maintain automation software that connects industrial control systems with higher-level software platforms., • Integrate industrial robots, sensors, motion systems, and manufacturing equipment into robotic production cells., • Develop and support real-time and embedded software components used in industrial automation systems., • Help define and maintain scalable automation architecture, including industrial networking, device integration, and system monitoring., • Collaborate closely with robotics, mechanical, and software engineering teams to deploy and improve automation systems., • Support development of tooling and algorithms related to motion planning, geometry processing, and manufacturing automation.Required Background & Experience:, • 5+ years of experience in industrial automation, controls engineering, or robotics systems., • Experience with Beckhoff TwinCAT or similar., • Strong experience programming PLCs using Structured Text., • Familiarity with embedded software development, • Programming experience with C, C++, or Python., • Understanding of industrial robotics systems and automated manufacturing equipment., • Ability to work across both industrial controls and modern software development environments., • Strong problem-solving skills and comfort working in fast-paced engineering environments., • Willingness to learn new technologies and adapt quickly in a rapidly evolving technical environment.Preferred Qualifications:, • Experience working with robotic manufacturing systems or high-tech industrial robotics., • Exposure to computational geometry, toolpath generation, or geometric processing., • Experience with motion control systems and servo drives., • Experience integrating industrial sensors, machine vision, or inspection systems.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Robotics Automation Engineer in Test to own quality, validation, and release execution across our robotics and industrial automation software stack as we deploy and scale production cells. This role is responsible for defining and enforcing quality strategy for robotics and automation systems, validating release candidates, and supporting deployments to production cells. You will work hands-on with physical systems, running tests and experiments on cells, supporting issue triage, and acting as a gatekeeper for production releases. This position operates closely with robotics, controls, and software teams and has the authority to approve the transition from release candidate to official release. The ideal candidate combines strong robotics and automation engineering fundamentals with a disciplined approach to testing, validation, and production readiness in hardware-integrated environments. Key Responsibilities: • Own and drive quality strategy for the robotics and industrial automation software stack, including ROS2, C++, Python, Beckhoff TwinCAT, and Structured Text PLCs., • Define, formalize, and maintain test plans, validation procedures, and release criteria for robotics and automation systems., • Execute smoke tests, system validation, and acceptance testing of release candidates on production cells., • Serve as release authority, approving or blocking promotion from release candidate to official production release., • Deploy software and automation releases to production cells and support rollout activities., • Automate testing and validation workflows to improve coverage, reliability, and release velocity., • Run tests and experiments on production and development cells, independently or in collaboration with robotics and automation engineers., • Triage and support cell-level issues, performing initial investigation and escalating to engineering teams as needed., • Partner with Software Engineers in Test when required, including large release validation, user support, feedback collection, and extended testing efforts., • Contribute to continuous improvement of testing, deployment, and validation processes as the platform scales.Basic Qualifications:, • Bachelor’s degree in Engineering, Computer Science, or comparable practical experience., • Experience testing software systems, including writing test scripts or test code., • Hands-on experience with automated testing frameworks or tools., • Ability to debug issues across software and automation interfaces., • Strong problem-solving and communication skills.Preferred Qualifications:, • Experience testing industrial automation systems, robotics, or hardware-software integrated products., • Familiarity with CI/CD pipelines, versioned deployments, and release validation., • Experience supporting deployments and troubleshooting issues in production environments.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Senior Mechanical Engineer with robotics hardware experience to lead design and integration of advanced manufacturing and mechatronic systems through our robotic forming platform. This role is ideal for a senior engineer who thrives in hands-on mechanical design, mechanism and structural analysis, system-level architecture, and robotics hardware integration. The Senior Mechanical Engineer will serve as both individual contributor and technical lead, driving the development of complex robotic systems from concept through production. This individual will collaborate closely with software, controls, embedded, and manufacturing teams while mentoring other engineers and helping guide technical execution. Key Responsibilities: • Design and develop robotic and mechatronic hardware systems including mechanisms, structures, end-effectors, and integrated sensor/actuator components., • Own hardware development through the full lifecycle: concept, design, prototyping, testing, validation, and production readiness with accountability ensuring performance, reliability, and manufacturability., • Collaborate closely with software, embedded, controls, and robotics teams to ensure seamless system integration., • Produce and release hardware designs, engineering drawings, and technical documentation., • Troubleshoot and resolve complex multidisciplinary issues during development, testing, and production ramp-up., • Partner with manufacturing and suppliers to support DFM/DFA, sourcing strategies, and scalable production., • Provide technical mentorship and guidance to engineers across the team., • Support customer, partner, or investor technical discussions as a subject-matter expert when needed.Required Background & Experience:, • 6+ years of experience in mechanical engineering, robotics, or mechatronic systems., • B.S. in Mechanical Engineering, Aerospace Engineering, or a related field required, • Demonstrated ownership of at least one complex system from concept through deployment or production., • Hands-on experience designing and integrating mechanism sensors, actuators, and electromechanical assemblies., • Experience working closely with embedded software, controls, and automation teams., • Proficiency with CAD tools such as SolidWorks, Creo, Inventor, or similar., • Experience working in fast-paced startup, R&D, or advanced technology environments where scope is broad and iteration is fast., • Strong analytical and problem-solving skills with the ability to work across engineering disciplines.Preferred Qualifications:, • Background in advanced manufacturing, industrial automation, or robotic production systems., • Experience with high-precision or high-reliability robotic systems, including hydraulics or pneumatics., • Experience supporting production systems, field deployments, or customer-facing robotics platforms.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Senior Product Manager to lead the development of software systems that translate digital designs into robotic manufacturing instructions. At the core of Machina’s platform is a software stack that converts CAD models into precise robotic toolpaths used to drive our RoboCraftsman manufacturing cells. This role will contribute to shaping the product direction for our pre-cell software tools, including path planning and slicing applications, geometric simulation for collision detection and validation, and factory coordination systems that support production operations across multiple facilities. You will define product strategy, manage the software roadmap, and lead sprint execution while working closely with engineers and internal users. This role partners directly with robotic processing engineers, and manufacturing teams who rely on these tools daily, ensuring the software enables efficient, reliable robotic manufacturing at scale. The Senior Product Manager will also collaborate closely with the Product Lead and executive leadership to ensure software development aligns with Machina Labs’ broader product and manufacturing strategy. Key Responsibilities: Own the Software Tools Roadmap: • Define and drive the roadmap for Machina Labs’ pre-cell software tools., • Prioritize product initiatives, manage tradeoffs, and communicate product direction to engineering and leadership teams., • Align software development priorities with broader company product and manufacturing goals.Lead Development of Path Planning & Slicing Tools:, • Own the development of Machina’s path planning and slicing platform, which converts CAD inputs into robot programs., • Define the product vision and feature roadmap as the system evolves from a scrappy internal tool into a production-grade application., • Ensure the platform supports robust workflows for process engineers operating robotic forming systems.Develop Simulation & Validation Capabilities:, • Own geometric simulation capabilities used to verify toolpaths prior to execution., • Drive development of visualization, collision detection, and toolpath validation tools that ensure safe and reliable robotic execution., • Enable engineers to confidently validate robot programs before running them in production environments.Support Factory Coordination Software:, • Contribute to software systems that support coordination across multiple Machina Labs facilities., • Help define tools that support scheduling, quoting, and production tracking as the company scales manufacturing operations.Drive Product Execution:, • Run sprint planning and agile development cycles for the software team., • Write clear product requirement documents to guide engineering implementation., • Manage product delivery from discovery through release.User Research & Product Discovery:, • Conduct direct user research with Machina’s internal process engineers and manufacturing teams., • Develop a deep understanding of workflows, pain points, and opportunities for automation and efficiency improvements., • Translate user insights into product improvements and new feature development.Required Background & Experience:, • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 5+ years of product management experience in technical software environments., • Proven experience delivering complex software products from concept through release., • Strong ability to define product problems, manage tradeoffs, and drive engineering execution., • Deep curiosity about users and ability to translate workflow needs into effective product solutions., • Experience collaborating closely with engineering teams in technical environments., • Excellent communication and stakeholder management skills.Preferred Qualifications:, • Master’s degree in a technical discipline, engineering field, or MBA., • Experience working with digital fabrication tools, such as 3D printing, CAM systems, or robotics software., • Prior experience building computationally complex software products, particularly involving geometry, path planning, or simulation.

Job DescriptionCareer Renew is recruiting for one of its clients a Solutions Engineer - Media Generation - this is a fully remote role for US-based candidates. Salary range: 100-150K USD plus benefits plus equity. We are the leading independent AI benchmarking and insights company. We support engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 30+, on track to double by mid-year, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, Deeplearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. We’re hiring a Solutions Engineer to manage our media generation benchmarking pipeline. You’ll run image and video generation evaluations, manage human preference studies, and serve as a technical point of contact for media generation model providers. This is a process-driven, operational role suited to someone who is detail-oriented, comfortable with Python, and can manage pipelines reliably day-to-day. What You’ll Do * Generate image and video outputs across models according to standardized evaluation protocols * Set up and manage human preference evaluation studies, including study design, participant management, and quality control * Process and analyze preference vote data to produce benchmark results * Manage the end-to-end pipeline: from prompt execution through to published results * Serve as a technical point of contact for media generation model providers — communicating results, explaining methodology, and handling queries * Monitor data quality, flag anomalies, and ensure consistency across evaluation rounds * Maintain documentation of processes and configurations * Stay current with new image and video model releases Tech stackPython Requirements: 3+ years of experience in a technical, client-facing role such as support engineering (Mandatory) Proficient in Python scripting and working with APIs (Mandatory) Background in data analysis, research operations, or other process heavy roles (Mandatory) Experience with AI, particularly image/video generation models (Nice-to-have) Comfortable in a purely operational/execution-focused role, not a builder role (Mandatory)

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Software Engineer in Test (SET) to own quality, validation, and release execution across our software platform as we develop and deploy new features and services. This role is responsible for defining quality strategy for the software stack, validating release candidates, and supporting deployments to production. You will build automated testing infrastructure, execute validation of new features, triage software issues, and act as a gatekeeper for software releases. The role partners closely with software engineers and collaborates with robotics and automation engineers when software changes impact production cells. The ideal candidate combines strong software engineering fundamentals with deep experience in test automation, CI/CD pipelines, and production-grade release processes. Key Responsibilities: • Own and drive quality strategy for the software stack, including TypeScript, React, Next.js, Python, and Azure GCC High., • Define, formalize, and maintain test plans, test suites, and release criteria for software systems., • Execute smoke tests, regression tests, and system validation of release candidates., • Serve as release authority, approving or blocking promotion from release candidate to official production release., • Design, implement, and maintain automated testing and validation pipelines integrated with CI/CD., • Run tests and experiments for new features to validate functionality, performance, and reliability., • Support deployment of software releases to Azure, including monitoring and initial issue response., • Collect and synthesize feedback from users to inform quality improvements and testing priorities., • Triage and support software issues, performing initial investigation and escalating to engineering teams as needed., • Partner with Robotics and Automation Engineers in Test when required, including deployments to production cells, user support, and large-scale release validation., • Continuously improve testing tools, processes, and release workflows as the platform scales.Basic Qualifications:, • Bachelor’s degree in Engineering, Computer Science, or comparable practical experience., • Experience testing software systems, including writing test scripts or test code., • Hands-on experience with automated testing frameworks or tools., • Ability to debug issues across software and automation interfaces., • Strong problem-solving and communication skills.Preferred Qualifications:, • Experience testing industrial automation systems, robotics, or hardware-software integrated products., • Familiarity with CI/CD pipelines, versioned deployments, and release validation., • Experience supporting deployments and troubleshooting issues in production environments.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Manufacturing Engineer – Machine Production to join our growing team and help scale the next generation of robotic manufacturing systems. In this hands-on role, you will support the production ramp and process development of our RoboCraftsman forming cells, working at the intersection of robotics, advanced manufacturing, and production engineering. You will play a key role in transitioning engineering designs into scalable manufacturing systems, optimizing material flow, assembly processes, and facility layout while supporting the evolution of our robotic forming technology. This role is ideal for engineers who thrive in fast-paced environments and enjoy solving complex manufacturing challenges while bringing innovative hardware systems from early builds into reliable production. Key Responsibilities: • Support the scaling and development of Machina Labs’ RoboCraftsman forming cells, including optimizing assembly processes as production transitions from low-volume builds to higher-volume manufacturing., • Manage Bills of Materials (BOMs) by converting Engineering BOMs (EBOMs) into Manufacturing BOMs (MBOMs) structured for efficient material flow, routing, and assembly operations., • Design and develop jigs, fixtures, and tooling to support assembly, handling, and lifting operations; perform simulations and Finite Element Analysis (FEA) to validate designs and ensure performance and reliability., • Develop detailed work instructions, assembly procedures, method sheets, and in-process documentation to ensure repeatability, quality, and process consistency., • Support production planning activities including job planning, routing development, and scheduling; utilize ERP/MRP systems to manage work orders and coordinate production activities., • Partner with facilities and production leadership to support facility build-out and production cell optimization, applying Lean Manufacturing and 5S principles to improve workflow, reduce waste, and increase throughput., • Estimate manufacturing costs, develop time standards, and recommend tooling or equipment requirements for new or evolving product lines., • Collaborate closely with engineering teams to evaluate designs for manufacturability (DFM) and support engineering changes including ECOs, ECRs, first article inspections, and process improvements., • Work directly with production teams to troubleshoot technical issues, resolve bottlenecks, and improve process reliability in a fast-paced manufacturing environment., • Maintain accurate manufacturing documentation, reporting systems, and operational records to support production and continuous improvement initiatives.Required Background & Experience:, • 5+ years of Manufacturing or Operations Engineering experience in production environments, preferably in advanced manufacturing, robotics, aerospace, defense, or automotive industries involving complex assemblies., • Proven experience supporting low- to mid-volume production environments, including stabilizing processes, scaling operations, and managing engineering changes such as ECOs and process improvements., • Strong experience managing BOM structures, including converting EBOMs to MBOMs for efficient manufacturing workflows., • Proficiency designing production fixtures, jigs, and tooling using 3D CAD software such as SolidWorks, NX, or similar platforms; experience performing simulations and FEA analysis., • Strong understanding of manufacturing processes, equipment design, and process engineering principles, including Lean Manufacturing and 5S methodologies., • Experience developing work instructions, routings, assembly procedures, and process documentation., • Familiarity with ERP/MRP systems for production planning, work order management, scheduling, and material tracking., • Proficiency in 2D and 3D CAD for system layouts, schematics, and integrated mechanical system design., • Strong communication and collaboration skills with the ability to work across engineering, production, and leadership teams., • Proficiency with Microsoft Office Suite.Preferred Qualifications:, • Experience working with robotic or automated manufacturing cells, incremental sheet forming, or similar advanced manufacturing technologies., • Background in high-precision, low-volume production environments supporting mission-critical applications such as aerospace or defense structures.

Job DescriptionAbout Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. About the Role The Manufacturing Engineer plays a critical role in creating CAM programs, developing and releasing internal manufacturing procedures, and overseeing Robocraftsman cells. This individual will implement continuous improvement strategies, utilizing lean methodologies to reduce waste. As the primary user of the Robocraftsman cells, the Manufacturing Engineer will identify limitations, recommend improvements to hardware and software teams, and test upgrades. This role works closely with the Robotic Process Engineering team and Production Technicians to ensure the timely delivery of parts to customers.What You'll Do • Create forming and cutting tool paths using internal CAM tools., • Develop and release manufacturing procedures for production teams., • Oversee and take ownership of Robocraftsman cells, acting as the primary user., • Drive continuous improvement and reduce waste through lean manufacturing principles., • Collaborate with the Product Team to identify cell limitations and recommend improvements., • Test and validate hardware and software upgrades to ensure smooth integration into production., • Partner with the Robotic Process Engineering team to troubleshoot and optimize cell performance., • Work closely with Production Technicians to ensure timely and accurate production of parts., • Maintain detailed records of changes, improvements, and tests related to Robocraftsman cells., • Provide technical support and training to manufacturing staff on new processes, tools, and systems.What We're Looking For, • B.S. in Mechanical, Manufacturing, Industrial Engineering, or related field., • 2 years of manufacturing experience in production-heavy environments., • Hands-on experience designing, testing, and improving manufacturing processes to stay lean and efficient., • Strong ability to conduct root cause analysis and implement corrective actions., • Experience collaborating with cross-functional teams, including software engineers, product managers, and mechanical engineers., • Proficiency with CAD, CAM software, and CNC programming., • Background in job shops or manufacturers with forming, machining, or sheet metal capabilities., • Familiarity with Material Resource Planning (MRP) software., • Strong technical writing, problem-solving, and communication skills., • Ability to manage multiple priorities and meet deadlines in a fast-paced environment., • Ability to travel up to 20% of the time. Bonus Points For, • Experience in a manufacturing engineer role at an ISO9001/AS9100 certified facility., • Practical experience in a machine shop with a focus on quality standards., • Knowledge of GD&T and precision assessment principles., • Experience in lean, safety, and compliance activities., • Experience authoring/revising technical documents, including quality procedures, work instructions, and technical reports. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems that power our robotic sheet metal forming platform. In this role, you'll bridge the gap between the virtual and the physical, writing software that directly influences how giant robots shape real-world parts. You'll work across the stack in TypeScript and Python, collaborating closely with robotics and automation engineers, product managers, and quality teams to deliver reliable, performant software that drives manufacturing innovation.Key Responsibilities: • Design, develop, and maintain full stack applications using Next.js (TypeScript) and Python., • Build and maintain real-time communication layers using WebSockets to connect software interfaces with robotic systems., • Collaborate with the robotics and automation team to integrate software with hardware systems and manufacturing workflows., • Work with product and quality teams to translate requirements into well-architected, testable features., • Develop and deploy containerized services, supporting CI/CD pipelines and production infrastructure., • Contribute to system design decisions, code reviews, and technical documentation., • Troubleshoot and resolve issues across the full stack, from frontend UI to backend services and real-time data streams.Required Background & Experience:, • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience., • At least 4 years of relevant software engineering experience., • Strong proficiency in TypeScript with hands-on experience building applications in Next.js., • Solid Python development skills., • Working knowledge of WebSocket protocols and real-time communication patterns., • Experience with containerized deployments (Docker, Kubernetes, or similar)., • Strong communication skills and a collaborative mindset, you'll be working across disciplines daily., • Comfortable operating in a fast-paced environment where software meets physical systems. Preferred Qualifications: • Exposure to robotics, industrial automation, or manufacturing systems., • Experience with cloud platforms such as Azure or AWS., • Familiarity with CI/CD tooling (e.g., GitHub Actions)., • Background in building real-time data visualization or monitoring dashboards. In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation. Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law. We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: Machina Labs is seeking a Senior DevOps Engineer to join our growing software engineering team and help build the infrastructure that powers our advanced robotics manufacturing platform. In this role, you will design, scale, and own the cloud infrastructure, CI/CD pipelines, and deployment systems that support our robotics software platform. You will play a key role in defining how we deploy, secure, monitor, and manage systems across multiple environments, enabling reliable and scalable operations for our robotics and manufacturing systems. This is an opportunity for an experienced engineer to lead infrastructure strategy, streamline development workflows, and partner closely with software engineers to deliver highly reliable systems. You will be hands-on from day one and help shape the DevOps function as the company grows. Key Responsibilities: • Design, deploy, and manage Azure-based cloud infrastructure, including Azure Government environments., • Build and maintain CI/CD pipelines to support automated build, testing, and deployment workflows., • Develop and manage Infrastructure as Code using Terraform., • Manage and maintain Linux-based systems and services across development and production environments., • Support containerized deployments using technologies such as Docker and Kubernetes., • Manage secrets, certificates, and authentication across services and environments., • Implement system observability including logging, monitoring, alerting, and tracing., • Troubleshoot infrastructure and deployment issues and help define operational best practices., • Collaborate with engineering teams to improve deployment speed, reliability, and system performance.Required Background & Experience:, • 5+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles., • Strong experience with Microsoft Azure cloud infrastructure., • Deep experience working with Linux-based environments., • Proven experience building and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, or similar)., • Hands-on experience with Terraform for infrastructure automation., • Experience deploying and managing containerized applications (Docker and/or Kubernetes)., • Familiarity with Python and/or JavaScript to support automation, tooling, or platform integration., • Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog., • Strong troubleshooting skills and ability to manage complex cloud infrastructure. Preferred Qualifications: • Experience supporting infrastructure for robotics, hardware, or real-time systems., • Familiarity with Azure Government or regulated cloud environments., • Experience with HashiCorp tooling such as Vault or Consul.

About Flyby Robotics: Flyby Robotics builds drones with massively powerful GPU processing capabilities. Our team is crafting American-made drones that serve as open platforms for applications in machine learning, data capture, and autonomous operations. Our customers currently include leading AI developers, major US universities, cirital infrastructure customers, and US military users. We envision a future where drones computing trillions of operations per second can be deployed by hundreds of thousands across the Western world with a transformative impact across sectors, including enterprise, public safety, and defense. About The Role: You'll work with a team of engineers from Nvidia, NASA JPL, and US Navy NAVAIR to head supply chain procurement and outbound production fulfillment for our American-made drone product. Your area of ownership includes sourcing all inbound components with our suppliers, managing vendor relationships, and ensuring successful outbound logistics of manufactured drones. We’re looking for a candidate excited about enabling the manufacturing of AI-powered drones and who constantly strives to provide the parts needed to keep up with growing production demand. You will also actively seek to ensure the success of our drone manufacturing through on-time delivery, improving upon manufacturing quality and methods with suppliers, and driving down the cost per part. Prior supply chain management experience is highly desirable. This role may require short-term travel to partnered vendors to ensure the quality and maintain vendor relationships. Responsibilities: • Ownership of all mechanical, electronic, and PCB part sourcing to ensure all components are cost-efficient, high-quality, and sourced in line with our production schedule., • Manage supplier relationships, including RFIs and RFQs, and conduct supplier management from negotiating to finalizing supplier contracts., • Create cost models and data analytics to ensure sustainable long-term sourcing strategies., • Open communication with design engineers and manufacturing engineers to ensure sourced parts align with product technical capabilities in both R&D and scaled production., • Instill regular supplier business evaluation to ensure improvements in cost efficiency, exceptional quality, and on-time delivery., • Have consistent communication with both financial and engineering teams, resulting in favorable and enduring supplier relationships., • Maintain updated inventory tracking and forecasting processes., • Coordinate finished product logistics and successful fulfillment. Core Requirements: • Bachelor’s in Mechanical Engineering, Electrical Engineering, Industrial Engineering, and/or Supply Chain Management., • Holds a U.S. Citizenship or Permanent Residency Status due to ITAR restrictions, • 3+ years of supply chain experience in a rapid, dynamic manufacturing environment., • Proven ability to oversee vendor relationships, build cost models, and drive successful contract negotiations., • Strong analytical capability using data and metrics to guide sound business decisions., • Ability to read and interpret technical documents, such as wiring diagrams and assembly instructions., • Quickly grasps the technical requirements of the product, which leads to optimizing purchasing and product sourcing selections. Compensation and Benefits: • $120,000 per year annual salary., • 0.25% equity via stock options, depending on the candidate's experience., • Company holiday calendar and competitive PTO plans., • Company group health insurance plans. This is a full-time, in-person role at our Culver City facility. You'll be building something incredibly consequential. If you like to push to see what you can accomplish with your grit and ingenuity, consider applying for this role at Flyby Robotics. Flyby Robotics is an equal-opportunity employer. We do not discriminate based on race, color, religion, national origin, gender, gender identity, gender expression, age, ancestry, citizenship, sexual orientation, status as a protected veteran, or any other legally protected characteristic.

Job Description About Machina Labs: Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on. If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place. Job Description: We are looking for a Senior Technical Recruiter with a strong focus on software engineering hiring to help scale Machina Labs’ most critical teams. This role goes beyond filling open roles. You will be responsible for building high-caliber engineering teams that directly impact the company’s ability to execute. You will own full-cycle recruiting across backend, frontend, infrastructure, robotics software, AI and machine learning roles, partnering closely with technical leadership to define hiring strategy and attract top-tier talent. You will operate as both a strategic partner and hands-on executor, driving sourcing excellence, elevating candidate quality, and ensuring we consistently hire engineers who raise the bar. This role is responsible for executing recruiting across all functions, while prioritizing critical technical hiring needs across software, infrastructure, robotics software, and AI/ML. You will play a key role in shaping how Machina Labs attracts, engages, and hires top talent in competitive markets. Success in this role requires a proactive, market-driven approach to recruiting. You will leverage a combination of outbound sourcing, social platforms, talent communities, and employer branding to build consistent pipelines of high-caliber candidates. This is a highly visible role that partners closely with leadership and directly impacts the company’s ability to scale. Key Responsibilities: • Lead full-cycle recruiting across all roles, with primary focus on software engineering and technical hiring priorities., • Build and execute proactive sourcing strategies using LinkedIn, GitHub, social media platforms, professional communities, and referral networks., • Develop creative outreach approaches to engage passive candidates and expand talent pipelines beyond traditional channels., • Partner with hiring managers to align on role requirements, candidate profiles, and hiring priorities., • Drive pipeline quality and consistency for high-impact and hard-to-fill roles., • Manage and prioritize multiple searches simultaneously in a fast-paced environment., • Ensure a high-quality candidate experience from initial outreach through offer stage., • Maintain accurate tracking, reporting, and pipeline visibility within ATS systems, • Continuously identify new sourcing channels, tools, and strategies to improve hiring outcomes.Required Background & Experience:, • 6+ years of full-cycle recruiting experience, with strong emphasis on software engineering hiring., • Proven success sourcing and closing passive technical candidates., • Deep understanding of software engineering roles and technical skill sets., • Experience leveraging multiple sourcing channels including social media, communities, and outbound recruiting., • Ability to manage multiple priorities with strong organization and ownership., • Data-driven mindset with ability to track and improve recruiting performance., • Strong communication and stakeholder management skills. Preferred Qualifications:, • Experience recruiting in robotics, AI/ML, infrastructure, or hardware-software integrated environments., • Background in high-growth or startup environments., • Experience building or scaling recruiting strategies and processes., • Strong track record hiring senior and specialized technical talent.