Functional Safety Engineer, Energy Storage

Redwood Materials is pioneering a sustainable circular economy for lithium-ion batteries by transforming recycled materials into critical inputs for energy storage and next-generation battery technologies. We are seeking a motivated and experienced Functional Safety Engineer to join our team and play a key role in ensuring compliance with functional safety standards and advancing the safe deployment of new energy storage system (ESS) technologies. 

Responsibilities will include: 

• Functional Safety & Compliance: Lead compliance activities for ESS functional safety with a focus on UL 1998 (Software in Programmable Components), UL 991 (Tests for Safety-Related Controls Employing Solid-State Devices), and UL 5500 (Remote Software Updates). Support certification efforts and align product development with functional safety requirements
• Standards Application & Development: Apply safety principles and methodologies to ESS hardware and software. Facilitate and lead the development of FMEA’s, hazard analyses, safety cases, and test strategies. Represent Redwood in standards development activities to help shape emerging requirements for ESS functional safety
• Certification Management: Work with certification bodies (NRTLs) to establish and manage compliance programs for new technologies, ensuring timely approvals to support product introduction milestones. Partner closely with engineering and product teams to integrate safety requirements into development cycles
• Team Support & Alignment: Translate complex safety standards into actionable requirements for cross-functional teams. Provide technical guidance on functional safety practices and address feedback to align product designs with compliance needs
• Risk Management: Develop, document, and execute hazard mitigation and validation strategies. Support testing and verification activities to ensure system safety performance. Coordinate with internal and external stakeholders to resolve compliance and safety issues proactively
• Stakeholder Collaboration: Collaborate with engineering, manufacturing, and product design teams to streamline compliance and safety processes for ESS. Maintain strong relationships with certification bodies and industry partners to stay ahead of evolving safety requirements

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related field 
• Hands-on experience in embedded software development, ideally within safety-critical or regulated environments
• Preferred experience developing or working directly with microcontroller-based systems, including low-level software or firmware
• Proficiency in C for real-time embedded systems
• Strong background in UL 1998, UL 991, and UL 5500
• Familiarity with international functional safety standards such as IEC 61508, IEC/UL 60730, ISO 26262, or ISO 13849 (preferred)
• Experience working with Energy Storage Systems, power electronics, or safety-critical systems
• Demonstrated ability to apply functional safety methodologies (e.g., hazard analysis, safety cases, V&V planning)
• Experience managing compliance or certification processes with third-party testing/certification bodies
• Strong organizational skills, with high attention to detail
• Excellent communication skills, with the ability to explain complex technical requirements to diverse stakeholders
• A passion for sustainability and making the world a better place!

Service Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Service Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line.  You will be responsible for resolving complex technical issues across deployed Battery Energy Storage Systems (BESS). This role supports an Operations and Maintenance (O&M) organization that performs routine monitoring, preventive maintenance, and first-line troubleshooting. Service Engineering serves as the technical escalation path for O&M, owning deep diagnostics, system-level failure analysis, and engineering-driven corrective actions. 

The Service Engineer ensures safe, reliable, and high-performing asset operation by bridging field operations and engineering, translating operational issues into engineering solutions, and feeding field learnings back into product and system design. This role has the potential of growing into leadership as the team grows.  

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on both technical and leadership challenges. You’re a leader and a doer, excited about working in a dynamic, fast-paced setting, and want to shape the electrical engineering function within a new department at Redwood.

Essential Duties and Responsibilities:

• Act as the primary technical escalation point for the O&M organization for issues beyond standard operating procedures
• Define clear handoff criteria, escalation thresholds, and response expectations between O&M and Service Engineering
• Lead, mentor, and scale a team of Service Engineers providing tier-2 and tier-3 technical support
• Own investigation and resolution of complex electrical, controls, software, thermal, and system-integration issues
• Translate field and O&M feedback into actionable requirements for Product, Systems, and R&D Engineering teams
• Drive improvements in system serviceability, reliability, and maintainability through design and process changes
• Own advanced service documentation including troubleshooting guides, decision trees, and service bulletins
• Develop technical training materials and support O&M team upskilling on new systems, upgrades, and known issues

Desired Qualifications:  

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards 

Working Conditions:  

• Environment, such as office or outdoors
• Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
• Essential physical requirements, such as climbing, standing, stooping, or typing
• Occasional work weekends, nights, or be on-call as a regular part of the job
• Travel requirements, up to 40%

Field Quality Engineer, Energy Storage

Redwood Materials is currently searching for a Field Quality Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will be responsible for ensuring the quality, reliability, and safety of deployed Battery Energy Storage System (BESS) assets by identifying, investigating, and preventing field issues. This role works closely with Operations & Maintenance (O&M) teams that perform routine monitoring and maintenance, and with Service Engineering, which owns advanced technical escalation. 

The Field Quality Engineer serves as the frontline quality owner in the field, focusing on identifying systemic quality issues, conducting structured investigations, and driving corrective and preventive actions. This role plays a critical part in reducing repeat failures, improving fleet reliability, and feeding real world learnings back into engineering, suppliers, and operational processes. You’re a doer, excited about getting your hands dirty and working in a dynamic, fast-paced setting, and want to shape a new department at Redwood.

Responsibilities will include:

Staff BESS Electrical Design Engineer, EPC

Redwood Materials is seeking a Battery Energy Storage Systems (BESS) Electrical Engineer to join our EPC team. This role is central to the design of scalable, high-performance energy storage infrastructure for utility-scale and distributed applications. Our mission is to build a sustainable circular economy for lithium-ion batteries by transforming recycled materials into high-quality inputs for new batteries.

Responsibilities will include: 

• Lead electrical engineering efforts for utility scale lithium-ion BESS projects from concept (system sizing, layout) through construction. 
• Interface with utilities and ISO/RTOs to support interconnection studies/submittals, permitting, and compliance for new renewable and BESS projects. 
• Serve as the internal subject matter expert (SME) for technical challenges related to BESS.  
• Design AC and DC electrical systems for BESS using medium voltage transformers, inverters, DC combiners, energy managers, and battery modules. Specify and procure long-lead AC equipment. 
• Develop schematic diagrams, single-line diagrams, wiring schematics, raceway plans, grounding plans, and protection strategies for AC and DC systems. 
• Specify and evaluate components such as circuit breakers, contactors, fuses, disconnects, emergency power off (EPO), and metering devices. 
• Coordinate with civil, structural, fire & life safety, SCADA/telecom, geotechnical, and DC system design teams to produce complete IFC packages and technical specifications. 
• Ensure designs comply with applicable codes and standards such as NEC 705, NEC 706, IEEE 1547, UL 9540, NFPA 855, and local amendments. Lead code reviews and provide summary to internal teams. 
• Integration of BESS with grid infrastructure and other renewable and traditional energy sources.  
• Perform power system studies for short circuit, load flow, arc flash, and protective device coordination for AC and DC systems. 
• Serve as the Electrical Engineer of Record for assigned projects. 
• Maintain up-to-date knowledge of BESS technologies, codes, and industry trends.  
• Lead R&D efforts to perform feasibility analysis of using medium voltage DC distribution system for integrating BESS with other sources. 
• Provide CA support for RFIs, submittal reviews, change orders, and site inspections. 
• Coordinate with internal stakeholders and external consultants to track scope, schedule, and budget. 
• Prepare engineering cost estimates and project schedules in collaboration with project controls at various design milestones. 
• Perform QA/QC reviews of electrical designs and mentor junior engineers. 
• Contribute to internal design standards, templates, and best practices. 
• Manage project workload and ensure timely delivery of engineering documents. 
• Support strategic initiatives related to grid integration, renewable energy, and energy storage. 

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program. 
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date. 
• Minimum 5 years of experience in solar, energy storage, or microgrid sectors, with at least 3 years focused on BESS design and deployment. 
• Proven expertise in interconnection and regulatory compliance for BESS systems. 
• SME in knowledge of NEC 705, NEC 706, IEEE 1547, UL 9540, and NFPA 855.  
• Advanced proficiency in: 
• Microgrid and hybrid power systems modeling tools using HOMER or similar 
• Power system modeling using ETAP, SKM, or similar 
• AutoCAD/Revit, Navisworks, Bluebeam, Microsoft Office 
• Preferred proficiency in: 
• Transmission-level load flow and stability using PSSE and PSLF 
• Electromagnetic Transient Simulations using PSCAD, EMTC or similar 
• SEL Relay Settings using SEL AcSELerator or equivalent 
• Design of HVDC systems and converter station 
• Strong understanding of energy storage use-cases including peak shaving, load shifting, demand response, and frequency response. 
• Highly motivated, proactive, and detail oriented. 
• Ability to communicate effectively through verbal, written, and visual formats. 

Staff Electrical Design Engineer, EPC

The Staff Electrical Engineer is responsible for the end-to-end electrical design of industrial, offices, and lab facilities across multiple locations. The role holds full ownership of electrical deliverables — from concept through construction — across a diverse range of project types including hazardous occupancy, recycling facilities, office and labs, warehouse environments, and 34.5 kV/24.9 kV site infrastructure. The engineer is expected to operate with a high degree of independence, serving as Electrical Engineer of Record on assigned projects while coordinating across multiple disciplines to deliver code-compliant, construction-ready packages on schedule and within budget. This position requires a licensed Professional Engineer who is not only highly skilled at performing complex engineering calculations but also motivated, detail-oriented, and capable of communicating effectively at all levels — from field teams to executive stakeholders.

Responsibilities will include:

• Design and own a wide range of electrical systems — including medium voltage (up to 34.5 kV) feeds, low voltage power distribution, lighting, raceway, grounding, and communications. 
• Serve as Electrical Engineer of Record and responsible for producing permit and construction drawings. 
• Perform power system studies including short-circuit analysis, arc flash calculations, and protective device coordination using SKM or ETAP to ensure safe and code-compliant designs. 
• Perform cable ampacity calculations using AmpCalc or similar software to optimize cable size instead of using prescriptive tables from National Electrical Code (NEC). 
• Lead multi-discipline coordination with architectural, civil, structural, mechanical, fire & life safety, and other design teams to produce complete Issue for Construction (IFC) packages. 
• Review conceptual designs from manufacturing engineers and stakeholders to identify technical and financial risks. Prepare electrical specifications and conduct technical bid evaluations for designs produced by external design consultants. 
• Lead code analysis for NEC, IECC, and applicable NFPA standards across all project deliverables, and ensure designs meet all regulatory and compliance requirements. 
• Provide construction administration support including RFI responses, submittal reviews, change order management, and on-site inspections. Serve as the technical point of contact during construction and commissioning. 
• Prepare engineering cost estimates and project schedules, perform QA/QC reviews of electrical designs, and mentor junior engineers while contributing to internal design standards and best practices. 

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program. 
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date. 
• Minimum 10 years of experience in heavy commercial and industrial sectors, with evidence of exceptional ability. 
• Subject matter expertise in National Electrical Code (NEC), International Energy Conservation Code (IECC),  and relevant National Fire Protection Association (NFPA) standards with demonstrated ability to lead code analysis and apply requirements across complex, multi-discipline projects. 
• Advanced proficiency in Revit MEP, AutoCAD, Navisworks, Bluebeam, and SKM or ETAP for design production, clash detection, document review, and power system studies. 
• Advanced proficiency in AmpCalc or similar for cable ampacity calculations. Ability to perform photometric studies using lighting design software such as Visual or AGI and make decisions on optimal lighting levels for projects. 
• Strong analytical and problem-solving abilities, with the capacity to independently manage multiple concurrent projects, prioritize tasks effectively, and deliver high-quality engineering documents on schedule. 
• Ability to travel to project sites for construction administration, commissioning support, and field issue resolution, with flexibility to adjust availability based on project phase demands. 
• Excellent communication skills — verbal, written, and through drawings/sketches — with the ability to collaborate across disciplines and interface confidently at an executive level. 

Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

Staff High Voltage Electrical Engineer, EPC

Redwood Materials is seeking a Staff High Voltage Electrical Engineer to join our EPC team. This role is central to the design of high voltage electrical infrastructure to support our mission. Our mission is to build a sustainable circular economy for lithium-ion batteries by transforming recycled materials into high-quality inputs for new batteries. 

Responsibilities will include: 

• Lead the design of high voltage AC electrical systems, specifically for industrial substations (69kV to 345kV) and their integration with upstream transmission lines and downstream MV distribution
• Review and evaluate the design of existing substations to provide recommendations for improving reliability and stability
• Develop single-line diagrams, physical layout and design, protection and control systems, relay design and coordination, and grounding plans for substations
• Perform grid simulation and stability studies using industry standard tools such as PSSE, PSLF, PSCAD, ASPEN OneLiner and similar software
• Interface with utilities and ISO/RTOs to support interconnection studies, permitting, and compliance for new renewable and BESS projects 
• Perform short circuit, load flow, and arc flash studies
• Develop relay settings using SEL AcSELerator or equivalent software
• Evaluate and select high voltage equipment including switchgear, circuit breakers, transformers, reactors, PTs, CTs, and protection relays
• Serve as Electrical Engineer of Record for assigned projects
• Lead code compliance reviews (NEC, IEEE, NESC, NFPA) and provide technical guidance to internal teams
• Collaborate with civil and structural engineers on substation layout, foundations, and site development
• Support facilities, construction and commissioning teams with field engineering, testing, and troubleshooting
• Review vendor submittals, RFIs, and shop drawings for technical accuracy
• Participate in technical bid evaluations and identify scope gaps
• Lead R&D efforts to perform feasibility analysis of using medium voltage DC distribution system for integrating BESS with other sources
• Independently manage high voltage design packages from concept through commissioning
• Coordinate with internal stakeholders and external consultants to align scope, schedule, and budget
• Prepare engineering cost estimates and execution schedules in collaboration with project controls
• Lead technical reviews and design optimization workshops
• Mentor junior engineers and contribute to team development
• Develop workflows, templates, and standards for high voltage design and simulation
• Support strategic initiatives related to grid integration, renewable energy, and energy storage

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date
• Minimum 10 years of experience in high voltage electrical design, preferably in EPC environments
• Advanced proficiency in: 
• Transmission-level load flow and stability using PSSE and PSLF 
• Electromagnetic Transient Simulations using PSCAD, EMTC or similar 
• SEL Relay Settings using SEL AcSELerator or equivalent 
• Relay coordination and fault studies using ASPEN OneLiner or similar 
• Power system modeling using ETAP, SKM, or similar 
• AutoCAD, Navisworks, Bluebeam, Microsoft Office 
• Preferred proficiency in: 
• Design of HVDC systems and converter station 
• Strong understanding of protection and control systems, SCADA, and substation automation
• Highly motivated, proactive, and detail oriented
• Ability to communicate effectively through verbal, written, and visual formats
• Field experience in construction and commissioning of high voltage systems is highly preferred
• A passion for sustainability and making the world a better place!

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.
• Core Agent Capabilities Development:
• Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
• Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
• Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
• Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
• Deep expertise in Generative AI and Large Language Models (LLMs).
• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
• Experience with vector databases and advanced retrieval techniques.
• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
• Experience driving cross-team technical initiatives that have delivered significant business impact.

We are looking for a Functional Safety Software Engineer to join us and drive the development and management of our autonomous vehicle safety cases as we bring the Kodiak Autonomy System to market. We first published our Safety Report in 2019 and have based our development on systems engineering, the ISO26262 process and SOTIF principles. 

In this role, you will:

• Participate in developing technical safety requirements to be used in the Kodiak Autonomy System in various approved Operational Design Domains. 
• Lead specification of software safety requirements.
• Participate in development of software safety architectural design.
• Participate in software safety unit design and implementation.
• Develop test plans, test procedures, verification reports at the software unit and software integration levels. Support system level testing from a software safety perspective.
• Perform software safety analyses (e.g. dependent failure analysis) to comply with ISO 26262.
• Support Hardware-Software Interface development and derive safety measures.
• Collaborate with Kodiak internal and external stakeholders to review and assess work products for compliance with ISO 26262.
• 10% travel to test sites possible

What you’ll bring:

• Bachelor’s degree or higher in software, electrical, mechanical or other related engineering and/or a Bachelor’s degree with professional experience in a high tech environment
  
• Experience with Part 4, 6, 8 and 9 of ISO 26262. Special emphasis on implementation of Part 6 for autonomous vehicles  
  
• Experience with developing work products for safety critical systems. 
  
• Experience with system and software level verification and validation of autonomous vehicles
  
• Experience with functional safety standards such as ISO26262, SOTIF, and UL4600.
  
• Good communication skills with a collaborative approach
  
• Ability to structure project tasks and drive evidence development among teams
  
• Knowledge of software configuration management and software quality assurance
  

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

What you’ll do

As a Project Engineer, you’ll play a key role in bringing Giga’s electrical infrastructure projects to life. You’ll translate customer and utility requirements into site plans and electrical designs, ensuring our systems meet performance, safety, and cost goals. You’ll work cross-functionally with utilities, suppliers, electricians, and our internal product and operations teams to drive projects from concept through deployment.

This role is ideal for someone who thrives in a fast-paced environment, enjoys problem-solving in the field, and has the technical grounding to confidently handle medium-voltage design conversations with partners and vendors.

Where you’ll work

This role will be based in our San Francisco offices. You must be willing to work in the office full-time, outside of our bi-weekly WFH Fridays. Employees will be able to work remotely for up to 4 weeks per year.

Responsibilities

• Draft and iterate on site plans and electrical plans for customer projects using Autodesk and other design tools.
• Collaborate with utilities, engineers, suppliers, and electrical contractors to finalize electrical design requirements.
• Support the development of medium-voltage (MV) and low voltage (LV) component specifications and layouts.
• Manage and iterate on site design packages for multiple concurrent projects in the origination and deployment pipeline.
• Identify opportunities to reduce cost and lead time through early component identification and design optimization.
• Support procurement of electrical bill of materials for customer projects
• Work cross-functionally with Giga’s product and operations teams to ensure engineering and construction deliverables meet project timelines and quality standards.
• Contribute to continuous improvement of engineering workflows, templates, and design libraries.

Requirements

• 5+ years of relevant experience as a utility engineer, distribution engineer, or distribution engineering technician (or equivalent).
• Strong electrical design competency with experience in medium-voltage distribution systems and substation design
• Proficiency in Autodesk drafting tools and ability to produce and iterate on site plans.
• Excellent communication skills and comfort collaborating across disciplines (utilities, electricians, suppliers, internal teams).
• Bachelor’s degree in Electrical Engineering or related field preferred (experience may substitute).

Bonus points 

• Experience working within energy, utilities, or infrastructure design industries.
• Familiarity with transformer or switchgear design and deployment.
• Prior experience managing multiple simultaneous engineering projects from design through implementation.

Benefits

• Subsidized health, dental, and vision insurance
• Equity (options) in a rapidly growing startup
• 401(k) with 4% employer match
• Unlimited PTO
• Parental leave
• Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA)
• Commuter benefits
• Team on-sites where all offices come in–person to collaborate

OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

We are looking for a skilled and detail-oriented AV Commissioning Engineer to lead the testing, configuration, and fine-tuning of complex audio-visual systems. In this role, you’ll collaborate with cross-functional teams to ensure AV systems are delivered to the highest quality standards and meet client expectations. This is an excellent opportunity for a hands-on AV professional with strong technical acumen and a passion for delivering world-class AV experiences.

KEY RESPONSIBILITIES:

• Collaborate with project teams to review and understand AV designs and specifications
• Perform on-site testing and commissioning of AV systems, ensuring full functionality
• Configure, program, and integrate AV components including displays, projectors, audio processors, and control systems
• Calibrate AV systems for optimal audio and video performance (levels, resolutions, color accuracy)
• Troubleshoot and resolve technical issues during commissioning and handover
• Validate signal flow and connectivity across all AV components
• Implement and test AV control systems (touch panels, automation, user interfaces)
• Document configuration settings, commissioning results, and system adjustments
• Provide training and operational support to end-users and clients
• Partner with designers and programmers to optimize system performance and user experience

ESSENTIAL CRITERIA:

• Previous experience in AV commissioning or a similar technical AV role
• Strong understanding of AV hardware and protocols (HDMI, HDBaseT, Dante, AES67)
• Proficient in AV calibration techniques and the use of testing tools (e.g., signal generators, analyzers)
• Familiarity with AV control and DSP platforms such as Crestron, Extron, Biamp, or QSC
• Exceptional troubleshooting and diagnostic skills
• Excellent written and verbal communication skills
• Detail-oriented and highly organized, with a commitment to high-quality delivery
• Able to work both independently and in a team setting
• Flexibility to travel to client/project sites as needed

DESIRABLE CRITERIA:

• Bachelor's degree in Electrical Engineering, Audio Engineering, Computer Science, or equivalent experience
• Industry certifications such as CTS (Certified Technology Specialist) 
• Experience in enterprise environments or large-scale AV deployments
• Proficiency in control system programming or GUI customization
• Familiarity with remote monitoring tools or AV over IP technologies
• Experience training end-users and conducting technical walkthroughs

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of gender, gender identity, gender reassignment, age, religious or similar philosophical belief, race, national origin, political opinion, sexual orientation, disability, marital or civil partnership status, or other non-merit factor.

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

#LI-HH1

About the Role

Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.

We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly.

This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech.

• Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech.
• Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference.
• Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure.
• Build quality evaluation frameworks that guide model selection for customers and inform the roadmap.
• Join a small, early-stage team with outsized impact on a fast-growing product area.

Responsibilities

• Optimize inference performance for voice models (STT, TTS, speech-to-speech) — targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set.
• Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads.
• Build and maintain a voice model evaluation framework — measuring WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation accuracy for TTS.
• Enable new model architectures in our serving stack as the field evolves, including audio-native LLMs, codec-based models (SNAC), and speech-to-speech systems.
• Collaborate with model partners to integrate and optimize their models (Cartesia, Deepgram, Rime, and others) running on Together's infrastructure.
• Profile and debug performance across the full inference stack — from GPU kernels to framework-level bottlenecks — and ship measurable improvements.
• Work with the platform engineering side of the team to ensure the serving layer meets the latency and reliability requirements of real-time voice APIs.
• Contribute to voice model fine-tuning capabilities (STT and TTS) as we enable customers to build differentiated voice experiences on Together.
• Lay the groundwork for multiple new products down the line.

Requirements

• 5+ years of experience in ML engineering, with a focus on model serving, inference optimization, or ML infrastructure.
• Hands-on experience with LLM serving engines (vLLM, SGLang, TensorRT-LLM, or similar) — comfortable reading and modifying engine internals, not just using APIs.
• Strong proficiency in Python and PyTorch; experience with GPU profiling and optimization (CUDA, memory management, kernel-level debugging).
• Track record of shipping ML systems to production with measurable performance improvements.
• Strong product sense — you think about what developers building voice apps actually need, not just what's technically interesting.
• Comfort working on a small, early-stage team where you'll wear multiple hats and move fast.
• Experience with speech and audio ML (ASR, TTS architectures, audio signal processing) is a strong plus but not required — you can learn this quickly if you have strong ML engineering fundamentals.
• Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC) is a plus.
• Experience training or fine-tuning speech models is a plus.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

Requirements

• Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
• Knowledge of ML/AI applications and models
• Knowledge of performance profiling and optimization tools for GPU programming
• Excellent problem-solving and analytical skills
• Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences

Responsibilities

• Optimize and fine-tune GPU code to achieve better performance and scalability
• Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
• Stay up-to-date with the latest advancements in GPU programming techniques and technologies

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role:

Planet is developing the next generation of small satellite buses, featuring high-resolution optical imaging payloads, a space-based data center connected by optical inter-satellite links (OISLs), and high-speed RF/Microwave communication links. We continuously iterate on and develop small spacecraft communication systems—including board-level hardware, antennas, and ground station equipment—to achieve record data rates and link performance. Our system utilizes proprietary and industry-standard modems, transceivers across several bands, optical laser communication systems, and a worldwide network of ground stations.

We are seeking an experienced Satcom Modem Engineer to develop and mature our next-generation onboard satcom links, ground radios, and antenna systems, pushing the frontiers of satellite communications. You will architect, design, simulate, implement, and validate cutting-edge software-defined Satcom radios. Responsibilities include characterizing the SDR link performance of Planet’s next-generation S through Ka-band and optical terminals, selecting vendors, and managing subcontractors for Satcom solutions. You will facilitate and conduct rigorous testing on space and ground communication subsystems to ensure flight readiness. Success requires close collaboration with RF, EE, Flight SW, systems engineering, missions, and manufacturing teams.

The ideal candidate thrives in an agile, fast-paced environment and is comfortable with ambiguity.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Impact You'll Own:

• Develop GnuRadio-based ground modem solutions.
• Architect, design, and verify space segment software-defined radios and modems.
• Lead on-orbit performance validation for end-to-end satellite communications systems.
• Lead RF/MW/Optical Communications system integration and testing.

What You Bring:

• Strong experience with DSP algorithms, digital communication theory, and implementation (including digital modulation, synchronization, error correction, floating-point, and fixed-point design).
• Experience with Software Defined Radios (SDR), specifically GNU Radio and Linux development tools.
• Experience defining and measuring radio performance metrics in real time (e.g., SNR, BER, PER, and constellation visualization).
• Experience with state-of-the-art RF System-on-Chip (SoC) implementations.
• BS in Electrical/Computer Science or equivalent experience with a focus on digital communicatons.

What Makes You Stand Out: 

• MS or Ph.D. in Electrical Engineering with a focus on digital communications.
• Expertise in Matlab and Simulink for modem design.
• Experience with SDR platforms and associated signal processing libraries (e.g., GNURadio).
• Proficiency in Linux, Python, and data analysis tools.
• Experience with optical communications and links for space applications.
• Expertise in Radar and/or Phased Array technology.

Application Deadline:

August 1, 2026 at 11:59pm PST

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

POSITION SUMMARY

As a Facilities Engineer, you are responsible for conducting preventative and corrective work to support the facility center’s operations of the power plant and infrastructure equipment, including mechanical equipment, boilers, co-generator engines, chillers, and emergency generators. You will review construction and remodeling projects and contracted mechanical work for code compliance and compatibility with existing mechanical and electrical systems. This role oversees the monitoring of automated facility systems, including tube transport, fire alarm systems, elevators, and medical gas systems, and works collaboratively with other trades to complete required tasks.

KEY RESPONSIBILITIES

• Inspect and service facility utility equipment and systems; keep the designated Facilities Services Manager informed of infrastructure needs or required changes to maintain safe and reliable operations.
• Coordinate the preventative maintenance program for all utility and infrastructure systems, including chillers, boilers, cooling towers, medical gas systems, water treatment programs, water distribution systems, building management systems, emergency generators, and associated components.
• Monitor and modify preventive maintenance programs to ensure maximum effectiveness and provide all required documentation.
• Work with other divisions and departments to meet infrastructure and utility maintenance, installation, and construction needs; negotiate priorities, plan work schedules, and assign job tasks.
• Recommend the use of outside mechanical and utility specialty contractors as appropriate.
• Oversee and monitor outside mechanical and utility specialty contractors to ensure compliance with established healthcare standards.
• Schedule and monitor maintenance repair work, alterations, and renovation upgrades to facility infrastructure systems.
• Oversee infrastructure construction, installation, and commissioning activities to ensure system integrity and compliance.
• Instruct personnel regarding infrastructure and utility hazards and provide training, guidance, and oversight for safe equipment operation.
• Coordinate infrastructure parts, materials, and supplies within budgetary constraints; maintain replacement schedules and capital equipment records.
• Determine department specifications for infrastructure and utility system components.
• Review materials and installations during construction and remodeling projects to ensure quality and compliance.
• Maintain records to ensure compliance with all applicable Authorities Having Jurisdiction, including local, state, and federal regulatory codes.
• Attend required code compliance and regulatory update trainings.
• Perform all duties in accordance with established policies, procedures, regulatory and accreditation requirements, and professional standards.
• Provide excellent customer service by demonstrating organizational core and leadership behaviors.
• Work independently under general supervision while interacting with staff, patients, physicians, visitors, regulatory agencies, inspectors, contractors, and vendors.
• May oversee the work of staff and/or vendors as required.

JOB DETAILS

• Pay Rate: $37.49 per hour 
• Hours: Full-Time, 40 hours per week
• Shift Schedule: Midshift | 10:00 AM – 6:00 PM
• Days Off: Sunday & Monday
• Working Days: Tuesday through Saturday

REQUIRED QUALIFICATIONS

• Minimum of three (3) years of diversified experience as a plant mechanic, stationary engineer, boiler operator, refrigeration mechanic, or related field with demonstrated advanced skills in plant operations.
• Working knowledge and certification as required under applicable regulatory codes and state and local building codes.
• Strong knowledge of utility and infrastructure systems common to the healthcare environment.
• Ability to exercise independent judgment and decision-making.
• Ability to work safely and effectively with infrastructure and utility equipment.
• Universal Refrigerant Handling Certification may be required.
• Ability to read and interpret maintenance and construction documents.
• Effective verbal and written communication skills.
• Proficiency in common office software programs.
• A valid driver’s license may be required depending on department needs.
  
  

PHYSICAL REQUIREMENTS

• Previous construction experience preferred.
• Three to five (3–5) years of healthcare Facilities Services experience preferred.
• Additional related education and/or experience preferred.

PHYSICAL REQUIREMENTS

• Ability to stand, climb, stoop, and bend frequently; position requires considerable physical activity.
• Ability to lift up to 75 pounds.
• Ability to push carts and dollies weighing up to 500 pounds using proper body mechanics.
• Ability to tolerate exposure to toxic chemicals, biohazardous materials, dirt, dust, fumes, smoke, heights, high temperatures, and confined spaces.
• Adequate color vision and ability to wear required protective equipment.
• Ability to travel to various campus locations as needed.
• Ability to communicate effectively through reading, writing, and speaking in person or by telephone.

About You and The Role  

Zipline is looking for a Senior Flight Test Engineer to lead comprehensive flight test campaigns and integrate automated testing infrastructure into our flight test program. Your work will help enable Zipline to continuously test, learn, and deploy improvements to our global delivery service.

In this role, you will develop a deep understanding of Zipline’s end-to-end logistics system and work closely with cross-functional partners to generate rapid insights into changes across hardware, software, and operations. Your work will serve as the final line of defense before software and hardware are deployed globally to perform critical real-world deliveries.

You’ll own system-level flight test campaigns from planning through execution and analysis. This role is ideal for someone who enjoys translating complex engineering questions into effective test programs and using data and automation to accelerate learning.

Do you enjoy designing system-level test campaigns and owning the outcome end-to-end? Are you collaborative and motivated to integrate the needs of multiple engineering teams into a unified test strategy? Are you passionate about bringing automation, tooling, and data analytics into flight testing to increase speed and insight? If so, we’d love to hear from you.

What You'll Do  

• Develop and execute flight test campaigns to validate aircraft performance, delivery operations, docking systems, and fleet orchestration.
  
  
• Ensure flight testing is used for the highest-value learning opportunities, and recommend alternative test approaches when more efficient methods exist.
  
  
• Collaborate with electrical, mechanical, and software teams to define system-level flight test objectives and success criteria.
  
  
• Assess hardware and software readiness for testing and make sound judgments on risk posture and flight readiness.
  
  
• Identify and remove technical and programmatic roadblocks that slow down flight testing.
  
  
• Own or coordinate key aspects of flight operations, including preflight preparation, flight execution, and incident reporting.
  
  
• Analyze flight test data to identify anomalies, trends, and opportunities for rapid iteration.
  
  
• Track test progress and introduce new tools, processes, and workflows that enable safe and efficient testing.
  
  
• Develop and integrate software tooling and automated test infrastructure to improve test precision, insight, capacity, and velocity.
  
  
  

What You'll Bring 

• 3+ years designing, developing or validating autonomous, robotic, systems (UAS experience preferred).
  
  
• Experience maintaining and enforcing safety in a fast-paced and rapidly evolving environment.
  
  
• Strong experience analyzing and interpreting test data.
  
  
• Experience bringing up and debugging hardware and software systems for automated platforms.
  
  
• A systems-level mindset, with the ability to balance risks and priorities across structures, aerodynamics, embedded systems, and software teams.
  
  
• Strong judgment on when to move quickly with pragmatic solutions and when to invest in long-term infrastructure or tooling.
  
  
• Willingness to travel domestically and internationally for flight testing (approximately 2–6 weeks per year).
  
  
• Comfort working outdoors and supporting flight test activities in varying weather conditions.
  
  

What Else You Need to Know  

The starting cash range for this role is $130,000 - $200,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

The Sr. Customer Solutions Engineer is a customer-facing technical role responsible for enabling the successful integration of FORT products into customer robotic systems and platforms. This engineer will serve as FORT's primary technical presence at customer sites, guiding integration design, resolving implementation challenges, and ensuring customers achieve full functional and safety compliance with FORT's control systems. 

This is a high-impact, high-visibility position requiring strong technical depth, strong interpersonal communication, and the ability to operate independently in fast-paced industrial environments.

Key Responsibilities

• Travel to customer sites (up to 80%) to support integration of FORT wireless E-Stop and remote-control products into AGVs, AMRs, and custom automation platforms 
• Conduct integration design reviews, site assessments, and technical walkthroughs with customer engineering teams.
• Advise on integration architecture, including CAN bus topology, wiring schematics, and API-based software integration.
• Apply functional safety principles to validate safety-rated system designs
• Deliver remote integration support when appropriate with FORT customers. 
• Produce field reports, integration guides, and configuration documentation for internal and customer use.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, or related field
• 3–7 years in systems engineering, field applications, or technical integration in robotics or industrial automation
• Hands-on experience with CAN bus protocols and API integration in industrial contexts
• Working knowledge of electrical systems, control schematics, and functional safety standards
• Ability to travel up to 80%, including occasional international travel

Preferred Qualifications

• Experience integrating wireless control or E-Stop systems into mobile robotics platforms
• Familiarity with ROS, PLC-based systems, or industrial protocols (EtherNet/IP, Modbus)

The base salary for this position ranges from $115,000 to $150,000, based on qualifications, experience, and the level at which the candidate is hired. Total compensation may also include additional incentives and benefits.

We are seeking an experienced Senior Process Engineer to join our US team and own process development, qualification, and continuous improvement for our current and future hardware products. You will work across all stages of the product lifecycle to improve manufacturing processes and assembly methods. You will serve as the manufacturing voice in cross-functional programs, drive process excellence at internal sites and external partners globally, and develop deep expertise in manufacturing processes for current and future products.

As a Senior Process Engineer, you feel equally comfortable working hands-on on the factory floor as you do driving Design for Manufacturability in new product development projects across all levels of leadership. You will contribute to product design through DFM work and collaborate closely with R&D Engineers, factories, and external partners as needed.

What You will do:

• Lead process development, validation, and design transfer for consumer electronics products from EVT/DVT through PVT and mass production ramp
• Own the process documentation suite, including assembly flow diagrams, PFMEAs, control plans, and visual work instructions
• Conduct Design for Manufacturability (DFM) and Design for Assembly (DFA) reviews in close collaboration with mechanical and electrical engineering teams
• Drive yield improvement and defect reduction using DOE, SPC, root cause analysis (8D, 5-Why, Ishikawa), and corrective action programs
• Ensure manufacturing readiness, on-time execution of prototype builds, and successful factory ramp-up
• Define process capability requirements and perform capability studies (Cp/Cpk, GR&R, MSA) for critical assembly operations
• Apply lean manufacturing principles (value stream mapping, Kaizen, 5S, standardized work) to eliminate waste and increase throughput
• Partner with quality engineering to establish AQL inspection standards, incoming quality criteria, and containment plans for process escapes
• Represent manufacturing in NPI stage-gate reviews and clearly communicate readiness status to senior stakeholders

We would love to have you on our team if you have:

• Proven track record in consumer electronics manufacturing, with hands-on experience in electronics assembly processes, automation, and factory collaboration.
• Experience with miniaturized product design.
• Ability to work collaboratively and effectively in complex environments with cross-functional teams, external partners, and factories.
• Systematic and organized way of working, with a strong ability to identify and prioritize tasks.
• Comfortable working in written and spoken English.
• Willing and able to travel up to 25% of the time.

System Modeling Engineer, Redwood Energy 

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product. This position focuses on developing Multiphysics modeling platform to drive the system design of a novel energy storage system. These models must be robust enough to support multiple users, but agile enough to quickly drive a diverse array of design decisions. 

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. If you’re excited about working in a dynamic, fast-paced setting within a new department at Redwood, we want to hear from you! 

If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities. 

Responsibilities will include: 

• Contribute to Redwood Material’s in-house performance and technoeconomic model. 
• Drive architectural studies to explore the cost and performance design space. 
• Produce component-level sensitivity analysis to allow component owners to make globally optimal cost and performance tradeoffs. 
• Utilize the models to produce repeatable and dependable results for various stakeholders within the organization to drive product architecture and site-specific deployment decisions. 
• Parallelize our modeling framework to utilize cloud computing resources to get results faster. 
• Lead model validation efforts by writing test plans, working with test engineers to execute the test, and using the data to correlate the model. 
• Effectively communicate modeling results to drive architecture and performance initiatives. 

Desired Qualifications: 

• An MS or PhD in Mechanical Science, Electrical Engineering, or a related field. Or a BS and 2+ years of related work experience. 
• Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics. 
• Experience collaborating in software projects with multiple contributors. 
• Hybrid or electric powertrain model development, PV model development, or data analysis in Python or MATLAB/Simulink. 
• Familiarity with basic controls techniques, such as filters, PID controllers, and system identification. 
• Experience with optimization techniques. 
• Demonstrated ability to write clear and testable engineering requirements. 
• Strong communication and collaboration skills. 

Role Summary

This role requires a blend of deep technical knowledge, regulatory acumen, and strategic thinking to ensure that all firmware and software for Solid-State Transformers (SST) adhere to the highest standards of safety, reliability, and compliance. 

Responsibilities: 

• Develop and oversee compliance implementation for SST firmware and software to meet or exceed industry standards and regulations 

• Continuously perform risk assessments to identify potential compliance issues in firmware development processes and implementation 

• Design, develop, and execute compliance testing protocols, ensuring software meets all regulatory requirements 

• Maintain comprehensive documentation for compliance activities, including test results, compliance reports, and change management logs 

• Assess and audit complete development toolchain for compliance risks and vulnerabilities 

• Work with product and compliance teams to maintain clear communication with regulatory agencies or auditors 

• Guide developers to follow a compliance by design philosophy for relevant software 

• Work with engineers to solve complex problems and ensure project milestones are met 

• Stay updated with new technologies and methodologies to enhance compliance efficiency and effectiveness 

Qualifications: 

• Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Mechatronics, etc. with 5+years of professional experience or combined equivalent experience with evidence of exceptional ability 

• 3+years of experience with software compliance, regulatory agencies, and preferably functional safety or electrical standards (IEC 62443, UL 1998, UL 5500, IEC 60730, IEC 62351, etc.) 

• Proficiency in C or C++ for embedded systems 

• Experience with software and firmware testing frameworks 

• Excellent written and verbal communications in English, especially where compliance documentation is concerned 

• Excellent analytical skills to conduct risk assessments and safety analysis (FMEA, HAZOP, etc.) 

What You’ll Do:

Our Data Center Facilities team is at the forefront of the shift to the Intelligence Age, re-engineering the physical layer to support the unprecedented power and thermal demands of next-generation AI hardware, such as NVIDIA’s H100 and Blackwell architectures. We are a high-impact, cross-functional group of technical experts dedicated to solving complex infrastructure challenges, from transitioning suites to 80kW+ per-rack densities to implementing advanced liquid-cooling methodologies. In this role, you will collaborate with MEP consultants and operational stakeholders to manage multi-million-dollar retrofits, ensuring our physical infrastructure remains a catalyst—not a bottleneck—for global AI ambitions. We thrive on technical precision and mission-critical reliability, building the foundation for the next era of computing.

About the role:

• As our Staff, Data Center Augmentation Engineer, you will be the bridge between our current infrastructure and the future of AI. You will lead the engineering efforts to upgrade, expand, and optimize our data center footprint to support high-density AI workloads. This isn't just about keeping the lights on—it’s about re-engineering the power and cooling envelopes to accommodate the next generation of compute.

Who You Are: 

• Expansion Coordination: Lead the technical planning and execution of data center augmentations and retrofits, where we are adding load into existing spaces.
• High-Density Design: Work with the design and capacity teams to complete the design and planning for power expansions.  and oversee the implementation of power and cooling solutions specifically for AI hardware.
• Infrastructure Strategy: Evaluate existing electrical and mechanical capacities to determine the feasibility of 50kW–100kW+ rack densities.
• Vendor & Project Management: Coordinate with MEP (Mechanical, Electrical, and Plumbing) consultants, general contractors, and hardware vendors to ensure projects are delivered on time and within "mission-critical" tolerances.
• Risk Mitigation: Conduct Method of Procedure (MOP) and Standard Operating Procedure (SOP) reviews to ensure augmentations do not disrupt existing live operations.
• Education: Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, or a related technical field.
• Experience: 10+ years in Mission Critical Operations (Data Centers, Hospitals, or Semiconductor Plants).
• Technical Knowledge:  Deep understanding of UPS systems, backup generators, and switchgear.
• Experience with advanced cooling methodologies (CRAH, Chilled Water, Liquid Cooling).
• Familiarity with Data Center Infrastructure Management (DCIM) tools.
• Project Leadership: Proven track record of managing multi-million dollar infrastructure build-outs or retrofits.
• Ability to travel approximately  30% to data center locations globally.

Preferred: (if applicable)

• Communication: The ability to effectively convey complex Data Center power and cooling requirements to diverse operational stakeholders.
• AI Hardware Familiarity: Demonstrated understanding of the spatial, power, and thermal management requirements for high-density AI accelerators (e.g., NVIDIA H100s/B200s or comparable architectures).
• Certifications: Relevant industry certifications, such as a Professional Engineer (PE) license or a Certified Data Center Professional (CDCP), are preferred.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to solve complex "mission-critical" puzzles, like retrofitting live infrastructure to meet the massive power and cooling demands of the AI era without disrupting operations.
• You’re curious about the future of hardware, specifically how emerging technologies like liquid cooling and high-density rack architectures (50kW–100kW+) will redefine data center design.
• You’re an expert in navigating the electrical and mechanical chain—from transformer capacity and PDU limitations to translating technical requirements for diverse operational stakeholders.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $177,000 to $237,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including Nvidia, Canva, Cohere, Meta, Snowflake, Square, Toyota, and Amazon — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

About the Role:

As an AI Solutions Engineer you will sit at the intersection of cutting-edge AI infrastructure and the world’s most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and CoreWeave’s AI cloud. This role combines hands-on technical depth with strategic customer engagement — ideal for AI practitioners who enjoy building real systems, solving complex problems, and shaping how AI is developed and operationalized at scale.

What You’ll Do:

• Own the technical wins by building proof of value (PoVs). You’ll be partnering with Account Executives to drive discovery, solution design, and successful technical evaluations.
• Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the CoreWeave and Weights & Biases ecosystem .
• Design and deliver compelling live demos, proof-of-value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine-tuning, evaluation, and inference at scale.
• Architect modern ML and GenAI systems including distributed training, RAG pipelines, multi-agent systems, LLM fine-tuning workflows, and inference solutions.
• Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles.
• Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering.
• Partner closely with Product and Engineering to relay customer feedback, shape roadmap priorities, and improve the end-to-end AI developer experience.

Who You Are:

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer-facing technical role.
• Bachelors degree in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, or related field. Master in similar area of study preferred.
• Strong proficiency in Python (bonus: TypeScript/JavaScript) and experience building production-grade ML or GenAI applications.
• Hands-on experience training, fine-tuning, evaluating, debugging, and deploying deep learning or LLM-based systems.
• Experience with modern GenAI architectures including retrieval-augmented generation (RAG), tool-using agents, evaluation frameworks, and guardrails.
• Comfortable designing cloud-native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices.
• Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value.
• Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact.
• Thrives in fast-paced environments and can manage multiple customer engagements simultaneously.

Preferred:

• Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems. Ability to quickly adapt to new frameworks is a huge plus.
• Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval).
• Hands-on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine-tuning, TRL, Unsloth, or similar fine-tuning stacks. Big plus if experience using RL to improve agentic systems. 
• Experience operating distributed workloads using Slurm, Ray, or Kubernetes.
• Experience with inference optimization and serving frameworks such as vLLM, TensorRT-LLM, Triton, or TGI.
• Experience in MLOps/LLMOps platform engineering or supporting enterprise AI deployments.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

We are seeking a Senior Security Engineer to build the Vulnerability Management program protecting CoreWeave's AI infrastructure. You will architect intelligent automation systems that defend the GPU clusters powering breakthrough AI research and enterprise AI applications. You'll solve security problems at the intersection of cloud-scale infrastructure and specialized hardware—from GPU firmware vulnerabilities to AI-powered threat detection. This role combines technical depth, strategic thinking, and the autonomy to design workflows that will protect infrastructure driving the future of AI.

About the role:

• Build and scale AI-powered triage workflows: evaluate tools (LLM integration, TINES orchestration), architect solutions, and deploy to production
• Drive intelligent, risk-based vulnerability prioritization while simultaneously training AI models—your assessments become the foundation for automation
• Influence automation priorities: recommend which areas of the vulnerability pipeline would most benefit from automation to improve team efficiency
• Design and implement automated detection-to-ticket pipelines: build workflows that generate vulnerability detections, test them, scale across the environment, and auto-create Jira tickets
• Execute remediation campaigns: build automated workflows for EOL product removal, vulnerable software upgrades, and OS migrations at scale
• Manage embargoed vendor disclosures from hardware partners, including embargo verification and zero-day response coordination
• Lead security incident investigations related to high-profile vulnerabilities, coordinating cross-functional response and impact assessment
• Participate in on-call rotation for rapid-response vulnerability analysis during active zero-day events or critical security incidents
• Partner with IT, Infrastructure, and Engineering teams to drive remediation efforts, enforce SLAs, and escalate blockers strategically
• Write daily operations reports documenting vulnerability trends, remediation velocity, and emerging threats for security leadership
• Drive process improvements and workflow automation to improve operational efficiency and reduce manual toil

Who You Are:

• 7+ years of relevant experience with demonstrated impact in vulnerability management, application security, platform security, or cloud security engineering
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
• Proven hands-on experience building security automation (SOAR workflows, detection pipelines, or vulnerability prioritization frameworks)
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, exploit intelligence, and compensating controls
• Strong development background with proficiency in Python, Go, or similar languages for building production-grade security tools
• Experience with modern vulnerability management tooling such as Wiz, Semgrep, Rapid7, or similar platforms
• Demonstrated ability to partner with cross-functional teams (IT, SRE, Engineering) to drive remediation without formal authority
• Strong familiarity with common security vulnerabilities and the ability to judge their severity and business impact

Preferred:

• Practical experience building AI/ML-powered security workflows (LLM integration, automated triage, human-in-the-loop validation)
• Experience managing hardware security vulnerabilities (GPU/DPU firmware, BMC/IPMI, specialized compute environments)
• Production experience with security automation platforms such as TINES, Splunk SOAR, or serverless frameworks (AWS Lambda)
• Strong DevOps, DevSecOps, or SRE background with experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of container security and Kubernetes (image scanning, admission control, runtime protection, supply chain security)
• Experience supporting customer audits (SOC 2, ISO 27001, FedRAMP) with vulnerability evidence and control validation
• Experience integrating vulnerability management into modern CI/CD pipelines with a "shift-left" mentality

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

You love to:

• Architect and build security systems with full ownership, not just maintain existing tools
• Drive cross-functional initiatives and influence without formal authority
• Mentor engineers and see your automation multiply team impact

You're curious about:

• How to apply AI/ML to vulnerability management at cloud scale
• The intersection of hardware security and cloud infrastructure
• What makes security automation that engineering teams actually adopt

You're an expert in:

• Risk-based vulnerability prioritization and threat modeling
• Building production-grade security automation (SOAR, detection pipelines)
• Balancing security rigor with business velocity

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

NÜ Metal is CoreWeave’s Hardware New Product Introduction (NPI) team, a multidisciplinary group of mechanical, thermal, electrical, and power engineers that takes new GPU and server platforms from early concept through validation, integration, and large-scale production across our data centers. The team bridges hardware design, manufacturing partners, and data center operations to de-risk new platforms early and ensure each new generation of high-density, often liquid-cooled hardware lands in the fleet reliably, efficiently, and at scale. 

What You’ll Do

• Own the architecture, design, and evolution of thermals for high-density, GPU-accelerated data centers.
• Design, validate, and optimize rack-level and server-level thermal solutions.
• Partner closely with data center teams to define end-to-end thermal architecture—from building infrastructure through the rack.
• Collaborate with world-class engineers developing next-generation AI/ML hardware platforms.
• Advise on data center secondary loop layout, commissioning, and operation
• Review and evaluate JDM/ODM thermal designs, including thermal simulations; independently run simulations as needed.
• Debug complex thermal and system-level issues, incorporating learnings into future designs.
• Collaborate with vendors and internal teams to manage heterogeneous deployments, ensuring a cohesive thermal strategy across varying CDUs, server platforms, and facilities. 
• Drive thermal designs from early concept through mass production.
• Ensure designs meet high standards for efficiency, safety, reliability, and scalability.
• Partner with manufacturing teams to support production readiness and ramp.
• Actively contribute to architectural discussions, providing strong hardware design guidance and tradeoff analysis.
• Mentor and support the growth of junior engineers.
  
  

Who You Are

Minimum Qualifications:

• 10+ years of thermal management experience 
• Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, or a related technical field
• Experience in heatsinks, thermal interface materials, liquid cooling, heat exchangers and fans

Preferred Qualifications:

• 10+ years of experience designing complex thermal systems for hyperscale data centers
• Experience in liquid cooled data center architectures, including cold plates, wetted material compatibility, and CDUs
• Strong thermal design expertise
• Experience leading cross-functional design efforts in fast-paced environments
• Strong documentation and design review practices
• Excellent negotiation and stakeholder-management skills
• Understanding of rack-level thermal requirements and their impact on upstream infrastructure, including CDUs, facility piping, and chillers

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Systems Engineer, Energy Storage

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product at Redwood. This position will lead our system engineering effort, helping our mechanical, electrical, and software engineers come together and deliver a cohesive system. You will define clear requirements, evaluate and down-select system architectures, and drive the decision throughout the engineering organization. You are a believer and practitioner of model-driven design and have right-sized system engineering frameworks for a scrappy, fast-moving engineering team. The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. If you’re excited about working in a dynamic, fast-paced setting within a new team at Redwood, we want to hear from you! If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities. 

Responsibilities will include: 

• Optimizing architecture to achieve top-level product metrics such as cost, efficiency, energy/power density and availability.
• Ownership of system-level performance and functional requirements as well as development of subsystem and component requirements in partnership with design engineers.
• Performing or defining system modeling, simulation, and testing to validate system performance against requirements.
• Establishing interface definitions across components and between mechanical, electrical, and software teams.
• Reinforce system safety and reliability through participation in DFMEAs, risk assessments, and hazard analyses to identify and mitigate potential failure modes.
• Ensuring compliance with industry (UL) standards. 

Desired Qualifications: 

• BS or MS in Mechanical Science, Electrical Engineering, or a related field and 5+ years of design engineering or system engineering experience.
• Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy transformation, and basic thermal mechanics.
• Experience with power electronics product development.
• Proficiency in system modeling tools (Python or Matlab).
• Experience with requirement management tools (Doors, Jama, etc).
• Demonstrated ability to write clear and testable engineering requirements.
• Strong communication and collaboration skills.  
• A passion for sustainability and making the world a better place!

Hardware/Production Test Software Engineer

We are seeking a highly skilled and motivated Hardware/Software Test Engineer to join our rapidly-growing team. In this role, you will be responsible for designing high-level software architecture to support vehicle integration and test operations. You will collaborate with multiple engineering teams to create and implement successful test plans, and develop software for automated testing at both component and integrated levels. Additionally, you will refine specifications from electrical engineers to validate critical flight components, support all phases of development from proposal to successful test and flight, implement ground control and telemetry software, and contribute to the growth of our team through recruitment and hiring efforts.

Role

• Engage in the design of high-level software architecture in support of vehicle integration and test operations
• Work with test instruments, and engage in writing drivers for ground support equipment
• Implement software for automated testing at component and integrated levels
• Refine specifications from electrical engineers to validate critical flight components
• Support all phases of development from initial proposal development through successful test and flight 
• Implement ground control and telemetry software
• Assist in recruiting, interviewing, and hiring additional teammates to our rapidly-growing team

Requirements

• Bachelors, degree in CS, EE (or equivalent background knowledge)
• 2-5+ years of experience in embedded systems or hardware development / testing. 
• 3+ Years of experience with Python (or other high-level object oriented scripting language(s))
• 1+ Years of experience with Linux and shell command line tools
• 1+ Years of experience with version control systems (git, mercurial, svn, or others)
• A passion for building things, including working in a fast-paced environment and hands-on design and development
• Excellent written and verbal communication skills
• Experience reading schematics and data sheets, debugging circuits that interface with embedded software, from debugger to logic analyzer to oscilloscope

Bonus

• Experience with web development frameworks and databases

We are looking for a seasoned Staff Firmware Engineer with a passion for innovation in the wearable technology space. If you have a track record of developing cutting-edge firmware and a keen interest in shaping the future of wearable devices, we want you on our team!

This is a hybrid position that requires working onsite three days per week at either our San Francisco or San Diego office.

What you will do: 

• Design and Develop Firmware: Lead the design, development, and optimization of firmware for our next-generation wearable devices, focusing on performance, power efficiency, and scalability.
• Collaborate on Product Development: Work closely with hardware engineers, product managers, and software teams to deliver integrated solutions that meet our high standards of quality and user experience.
• Innovate and Improve: Continuously innovate and improve product features and performance, leveraging the latest technologies and methodologies in firmware development.
• Problem-Solving: Diagnose and troubleshoot complex firmware issues, ensuring robust, reliable performance across all devices.
• Contribute to Strategy: Play a key role in strategic decisions related to firmware architecture and technology stack, aligning with our mission to revolutionize the wearable technology industry.

Requirements 

We would love to have you on our team if you have:

• 8+ Years of Firmware Development Experience: With a solid foundation in firmware engineering principles and hands-on experience in the wearable or related consumer electronics field.
• Expertise in C/C++: Proficient in writing high-quality, maintainable, and efficient code in C/C++, with a deep understanding of microcontroller architectures.
• Familiarity with Wearable Sensors: Experience integrating and optimizing a variety of sensors commonly used in wearable technology, such as accelerometers, gyroscopes, and heart rate sensors.
• Experience with BLE and Wireless Communication: Strong background in Bluetooth Low Energy (BLE) and other wireless communication protocols, crucial for wearable technology development.
• Knowledge of Power Management: Demonstrated experience in power optimization for battery-operated devices, ensuring longevity and efficiency of wearables.
• Agile Development Practices: Comfortable working in an agile development environment, with excellent collaboration and communication skills to work effectively with teams across different locations.
• Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field.

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates’ pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• San Francisco  $198,050 - $233,000
• San Diego  $180,200 - $212,000 

A recruiter can determine your zones/tiers based on your US location.

About the Role

We are looking for a Lead Software Engineer to drive the architecture, development, and delivery of critical platform and infrastructure systems at Clockwork.

In this role, you will lead technical direction across complex initiatives spanning distributed systems, cloud infrastructure, networking, operating systems, databases, and full stack platforms. You’ll work closely with a highly technical team to design and scale production-grade systems that power modern AI and HPC environments.

This is an opportunity for a hands-on technical leader who enjoys solving hard engineering problems, mentoring strong engineers, and building systems from the ground up in a fast-moving startup environment.

What You’ll Do

• Lead the design, architecture, and implementation of core platform and infrastructure components.
• Build and scale large distributed systems running in production environments.
• Drive technical decisions across backend systems, cloud platforms, networking, and full stack applications.
• Collaborate cross-functionally with engineering, product, and leadership to define technical roadmaps and execution plans.
• Mentor engineers through design reviews, code reviews, debugging, and best practices.
• Improve system performance, reliability, observability, and scalability across the stack.
• Contribute hands-on code in key areas while setting a high technical bar for the team.
• Help establish strong engineering processes and a culture of ownership, quality, and execution.

What We’re Looking For

• At least 7 years of industry experience in software engineering or systems development.
• A degree in Computer Science, Electrical Engineering, or a related technical field.
• Fluency in one or more of the following languages: C, C++, Golang, Java, Python.
• Excellent debugging and problem-solving skills.
• A strong sense of ownership and the ability to lead in a fast-paced startup environment
• Strong expertise in data structures, algorithms, and software design.
• Experience designing, building, and scaling large distributed systems in production.
• Familiarity with service-oriented architectures and cloud technologies such as AWS, GCP, or Azure.
• Understanding of networking protocols; experience with NIC architecture and operation is a strong plus.
• Excellent communication skills, with the ability to collaborate across teams and explain technical concepts clearly.
• Experience in full stack development.

Enjoy

• Challenging projects.
• A friendly and inclusive workplace culture.
• Competitive compensation.
• A great benefits package.
• Catered lunch.

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $180,000 - $260,000.  In addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.

*This is a hybrid work role based in our San Francisco office with three days per week required in the office.

About the role:

Most "automation" roles are stuck in the browser. At Samsara, we operate where the code meets the cold, hard steel. We aren’t just validating features; we are orchestrating high-performance Hardware-in-the-Loop (HIL) environments that keep the world’s critical infrastructure moving.

Samsara’s Automation Engineering team uses cutting-edge engineering processes and data analysis to drive product excellence, ensuring our customers realize the full potential of our platform. Beyond system validation, the team seeks to cultivate an automation-first culture that produces best-in-class reliability, usability, and performance across all of our product development teams.

We’re looking for a self-driven Senior Automation Engineer to join our fast-growing Smart Trailers and Connected Equipment team. You will be the architect responsible for the automated systems ensuring the integrity of our asset gateway and sensor product lines.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact — helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper-growth environment.
• You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together, and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will: 

• Partner with firmware development and product teams to define automation goals, expand coverage, and ensure high-velocity, high-integrity firmware releases.
• Develop and execute comprehensive automated suites targeting RTOS-based embedded systems, including the programmatic validation of connectivity stacks (Cellular, GPS, BLE, WiFi, CAN).
• Scale automation infrastructure, CI/CD pipelines, and reporting tools to accelerate release cycles and maximize autonomous coverage.
• Perform in-depth root cause analysis on failures identified through automated frameworks and system stress testing.
• Support field validation through automated log analysis and issue triage to ensure firmware resilience in real-world industrial deployments.
• Champion and embed Samsara’s cultural principles as we scale our automation capabilities globally.

Minimum requirements for the role:

• 5+ years of experience in embedded systems or firmware automation engineering.
• Hands-on expertise building and maintaining HIL environments and custom automated frameworks for physical devices.
• Solid experience automating RTOS-based embedded systems (Zephyr, FreeRTOS, or similar).
• High proficiency in Python for sophisticated framework architecture and test development.
• Familiarity with CI/CD pipelines (Buildkite, Jenkins), version control (Git), and scalable automation architectures.
• Proven ability to perform low-level troubleshooting and root cause analysis on complex embedded hardware.

An ideal candidate also has:

• A Product & Owner Mindset: You are obsessed with the "why." You possess deep customer empathy, take full accountability for end-to-end outcomes, and proactively adapt based on feedback to ensure long-term success.
• Experience with Agentic workflows to enable rapid automation prototyping and autonomous development.
• Strong knowledge of Cellular, GPS, BLE, WiFi, and CAN technologies and their associated automation and debug practices.
• Experience with Unix/Linux system network automation and reliability engineering.
• Experience with hardware debugging tools (logic analyzers, oscilloscopes, J-Link) to assist in automation development.
• Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, or a related technical field.
• A track record of thriving in high-growth, fast-paced technology organizations.

About Zipline 

Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are.

From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. 

The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain. 

About this role

Zipline’s infrastructure does not map cleanly to standard construction approaches. This role is responsible for improving how we design and execute construction by identifying risks early and developing better ways to build.

The Construction Innovation Manager is an experienced construction leader who operates across projects. You will evaluate upcoming work, identify where standard approaches will break down, and implement solutions that improve cost, schedule, and scalability.

You will also step into active projects as needed to resolve issues, recover schedules, and support execution.

This position is based out of our office in South San Francisco with intermittent travel within California and the USA. 

What you’ll do

• Review upcoming and active projects to identify:
• Execution risks
• Schedule constraints
• Cost drivers
• Develop and implement improvements to construction methods and processes
• Evaluate standard industry practices and determine:
• When they should be applied
• When they should be adapted or replaced
• Support construction and deployment teams with:
• Constructability feedback
• Sequencing and scheduling improvements
• Lead targeted efforts to:
• Recover slipping schedules
• Reduce cost
• Resolve complex field issues
• Step into projects as needed to:
• Remove blockers
• Re-align execution plans
• Drive progress
• Identify opportunities for:
• Standardization
• Prefabrication
• Improved vendor strategies
• Tooling to improve construction quality & placement accuracy for Zipline hardware
• Capture and implement lessons learned across projects
  
  

• Understand our internal and external customer’s business and needs and work with our internal engineering and business teams to refine and roadmap necessary changes to ensure the successful deployment of the Ground Systems infrastructure. 
• Source and develop relationships with outside organizations (local jurisdiction, utilities, contractors, OEM and material suppliers etc).
• Evaluate all options and a lean budget, select best vendors to ensure reliable and quality services and products.
• Understand and mitigate the preconstruction, construction, operational and sustaining  risks associated with each project. 
• Interact directly with internal and external partners and stakeholders as needed. 
• Domestic travel to project sites expected on an ad-hoc basis. 

What you’ll bring

• 6–10+ years of experience in construction management or infrastructure delivery
• Experience delivering complex, multi-disciplinary projects
• Strong understanding of construction across multiple trades (civil, structural, electrical, site work)
• Ability to evaluate and improve construction methods and execution strategies
• Ability to analyze and optimize construction schedules
• Track record of solving ambiguous, high-impact problems
• Experience supporting both:
• Planning and design phases
• Field execution
• Willingness to take ownership of urgent or high-priority issues
• Clear communication and ability to work across teams
• Strong candidates should have excellent communications skills to:
• Drive internal alignment of requirements for projects based on business needs.
• Provide leadership team with updates on scope, schedule and budgets. 
• Drive external parties for the implementation of real estate projects. 
• The individual will be based at Zipline's headquarters in South San Francisco and will be expected to travel intermittently to implement Zipline's expansion in multiple metros across the US and internationally .
• Must be eligible to work in the US.

What Else You Need To Know

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

About the Role:

The Electro-Optical Systems team at Planet is seeking an Opto-Mechanical Engineer to help drive the design of payloads in Planet’s fleet of Earth-imaging satellites. Your mission will be to champion our payload design efforts, with a specific focus on opto-mechanical design and manufacturing. The ideal candidate will be a seasoned opto-mechanical designer who has led optical system engineering efforts across multiple programs from conceptual design through flight. As a member of the Electro-Optical Systems team within Planet’s Space Systems division, you will be a key contributor and stakeholder in Planet’s agile aerospace approach to spacecraft design, and will work hand-in-glove with optical engineering, structural analysis, thermal engineering,  and reliability & qualification, as well as the rest of Planet’s leading-edge spacecraft design and manufacturing teams. 

This is a full-time, in-office position based in our San Francisco HQ 5 days per week.

Impact You'll Own:

• Own the opto-mechanical manufacturing process of optical payloads on Planet’s next-generation satellites
• Design the manufacturing line for mid-volume production of optical payloads. Make first principle based, data-driven decisions throughout the design process to ensure efficient assembly and test processes
• Collaborate with cross-functional teams such as structural, thermal analysts and optical engineer groups to drive and perform analyses to ensure payloads meet stiffness, strength, thermal, and launch survivability requirements, as well as maintain on-orbit performance through STOP (Structural, Thermal, Optical Performance)
• Drive part and assembly design, manage fabrication with key vendors, perform failure analysis, and execute tolerance stackup and GD&T analyses to ensure precision and reliability
• Develop and maintain comprehensive design documentation 
• Lead technical presentations and reviews across all design review gates
• Support test planning and qualification test campaigns
• Be hands-on with flight and test hardware

What You Bring:

• Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field.
• 4+ years experience owning the development of opto-mechanical products from requirements through conceptual design, testing and manufacturing
• Experience designing for high-reliability space environments including launch survivability, vacuum conditions, on-orbit performance through thermal conditions (STOP)
• Experience in the design and fabrication of optical assemblies, incorporating components made from glass, carbon fiber, metals, ceramics, epoxies, as well as mechanisms and electrical elements
• Practical and direct engagement with hardware, from prototyping to production and testing phases
• Excellent analytical and problem-solving skills
• Experience working in a dynamic environment while driving projects to completion
• Good verbal and visual communication skills

What Makes You Stand Out:

• Expertise in optics / opto-mechanical manufacturing, metrology, alignment and calibration
• Ability to build out the manufacturing line for precision optical systems
• Experience with dynamic hardware builds, vibration and shock testing, telescope assembly, and optical performance testing
• Experience applying systems engineering principles to optimize optical payload integration, focusing on requirements management, trade-off analysis, and balancing system-level constraints such as cost, schedule, and performance
• Ability to drive manufacturers and DFM/DFA
• Proficiency in SolidWorks, Zemax, Matlab, Visual Basic, Python and/or C/C++

Application Deadline:

July 1, 2026 at 11:59pm PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

About the Role

We’re looking for an infrastructure research engineer to design and build the core systems that enable scalable, efficient training of large models for deployment and research. Your goal is to make experimentation and training at Thinking Machines fast and reliable to ensure our research teams can focus on science, not system bottlenecks.

This role is ideal for someone who blends deep systems and performance expertise with a curiosity for machine learning at scale. You’ll take ownership of the training stack end to end, ensuring every GPU cycle drives scientific progress.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Design, implement, and optimize distributed training systems that scale across thousands of GPUs and nodes for large-scale training workloads.
• Develop high-performance optimizations to maximize throughput and efficiency.
• Develop reusable frameworks and libraries to improve training reproducibility, reliability, and scalability for new model architectures.
• Establish standards for reliability, maintainability, and security, ensuring systems are robust under rapid iteration.
• Collaborate with researchers and engineers to build scalable infrastructure.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Past experience working on distributed training for the world’s largest models to make them stable, reliable, and performant.
• Track record of improving research productivity through infrastructure design or process improvements.
• Contributions to open-source ML infrastructure such as PyTorch, XLA, Megatron-LM, or DeepSpeed.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

About the Role

We’re looking for an infrastructure research engineer to design and build the core systems that enable scalable, efficient training of large models through reinforcement learning.

This role sits at the intersection of research and large-scale systems engineering: a builder who understands both the algorithms behind RL and the realities of distributed training and inference at scale. You’ll wear many hats, from optimizing rollout and reward pipelines to enhancing reliability, observability, and orchestration, collaborating closely with researchers and infra teams to make reinforcement learning stable, fast, and production-ready.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Design, build, and optimize the infrastructure that powers large-scale reinforcement learning and post-training workloads.
• Improve the reliability and scalability of RL training pipeline, distributed RL workloads, and training throughput.
• Develop shared monitoring and observability tools to ensure high uptime, debuggability, and reproducibility for RL systems.
• Collaborate with researchers to translate algorithmic ideas into production-grade training pipelines.
• Build evaluation and benchmarking infrastructure that measures model progress on helpfulness, safety, and factuality.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Experience working with reinforcement learning workloads (e.g., PPO, DPO, RLHF, or reward modeling).
• Background in high-performance or reliability engineering — distributed training frameworks and cluster orchestration (Kubernetes, Slurm).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry).
• Contributions to large-scale ML research or infrastructure, open-source frameworks, or internal performance optimization efforts.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

About the Role

We’re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. You will focus on improving the numerical foundations of our distributed training stack, from precision formats and kernel optimizations to communication frameworks that make training trillion-parameter models stable, scalable, and fast.

This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.
• Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.
• Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.
• Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.
• Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.
• Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.
• Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.
• Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.
• Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.
• Experience training and supporting large-scale AI models.
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

About the Role

We’re looking for an infrastructure research engineer to design, optimize, and maintain the compute foundations that power large-scale language model training. You will develop high-performance ML kernels (e.g., CUDA, CuTe, Triton), enable efficient low-precision arithmetic, and improve the distributed compute stack that makes training large models possible.

This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You’ll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You’ll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.
• Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.
• Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
• Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.
• Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.
• Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
• Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Track record of improving research productivity through infrastructure design or process improvements.
• Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.
• Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.
• Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).
• Contributions to open-source GPU, ML systems, or compiler optimization projects.
• Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

THE COMPANY:

Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.

ROLE AND RESPONSIBILITIES:

The Internal Tools team builds the infrastructure that Juul’s hardware and firmware programs run on. This includes test automation frameworks, CI pipelines, aerosol science instruments, electromechanical fixtures, and the software that ties it all together. We’re a small team of generalists who own projects from first principles to final handoff and work directly with the engineers who depend on what we build. If you’re equally comfortable writing a Python test harness and assembling a precision fixture, you’ll fit right in.

Expectations

• Work cross-functionally with Firmware, Product Design, Chemistry, and Regulatory teams to translate program needs into reliable, well-documented tooling.
• Design and develop test systems and automation tooling. This includes software frameworks, electromechanical fixtures, and instrumentation.
• Contribute to the team’s CI/firmware testing infrastructure by developing modular, maintainable test platform components in close collaboration with the firmware engineering team.
• Own projects end-to-end. Capture requirements and drive system architecture through fabrication, software integration, validation, and handoff to stakeholders.
• Proactively identify gaps, flag risks early, and propose solutions without waiting to be directed.
• Consistently produce clear, thorough documentation that enables peers and stakeholders to self-serve and build on your work.
• Actively leverage AI coding assistants and LLMs as a first-order productivity multiplier for code generation, debugging, documentation, data analysis, and design iteration.

What Ramp-up Looks Like     

• Within 90 days: Ramped on active Tier 1 projects and making meaningful independent contributions to at least one deliverable.
• Within 6 months: Fully own and deliver at least one project from concept through deployment, with stakeholder sign-off.
• Beyond: Consistently supporting and delivering tools and fixtures adopted and relied upon by cross-functional teams.

Team Snapshot

• Small team, real ownership. You won't just be assigned a slice of someone else's project; you'll own yours from kickoff to deployment, with the trust and visibility that comes with it.
• Broad by design. The work spans mechanical design, electronics, embedded systems, instrumentation, and software. You're expected to be useful across all of them.
• What you build, people use. Firmware engineers, aerosol scientists, and regulatory teams depend on this team's output. You'll always know exactly who you're building for and why it matters.
• AI-first, for real. Between test data, automation pipelines, and embedded tooling, there's no shortage of places to apply it. We're actively building that culture and this hire will help drive it.

PERSONAL AND PROFESSIONAL QUALIFICATIONS 

Required

• 7+ years of hands-on experience in mechatronics, hardware/electrical engineering, or a closely related discipline, with demonstrated ability to work effectively across mechanical, electrical, and software domains.
• Strong EE fundamentals: circuit design, analysis, schematic capture, PCB layout and review (Altium preferred, or equivalent), embedded microcontrollers, sensors, and analog/digital instrumentation.
• Familiarity with Rust or other systems-level programming languages; the team is actively moving toward Rust-based tooling.
• Proficiency in Python (or equivalent) for test automation, data acquisition, and analysis scripting.
• Proven experience designing and building automated test fixtures or custom electromechanical systems.
• Strong systems-level thinking: able to decompose complex problems, design across the full stack, and reason clearly about failure modes and edge cases.
• Currently and actively using AI tools (coding assistants, LLMs) as a core part of your daily engineering workflow.
• Clear, concise communicator with strong documentation discipline; comfortable working directly with non-engineering stakeholders.

How to Stand Out

• Experience in consumer electronics, vapor/aerosol science instrumentation, or factory test environments.
• Proficiency in CAD (SolidWorks preferred, Fusion 360, Onshape, or equivalent) for fixture and enclosure design.
• Familiarity with LabVIEW, NI DAQ, or similar instrumentation frameworks.
• Experience with IoT architectures or embedded Linux control systems.
• Background in precision mechanics, vacuum systems, or optical/analytical instrumentation.

EDUCATION

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Systems Engineering, or a closely related technical field required; Master’s degree a plus.
• No specific certifications required; equivalent work experience demonstrating cross-disciplinary competency will be considered in lieu of degree.

JUUL LABS PERKS & BENEFITS:

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
• 401(k) plan with company matching
• Plus biannual discretionary performance bonuses

Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US.

We are looking for an Antenna Design Engineer to join our hardware team in San Diego or San Francisco. This  person will be working with a multidisciplinary team developing our future product development efforts.

What You’ll Do

• Design, simulate, and optimize antennas for low-power wearable devices, including multi-band solutions.
• Build prototypes quickly and effectively to evaluate design concepts
• Collaborate cross-functionally with mechanical, electrical, and firmware teams to integrate antennas into highly constrained form factors.
• Perform electromagnetic simulations (e.g., HFSS, CST, FEKO) and validate designs with bench and OTA measurements.
• Conduct over-the-air (OTA) performance testing and troubleshooting in collaboration with test engineering teams.
  Drive root cause analysis and design iteration for antenna performance issues in prototypes and production units.
• Work with suppliers, CM partners, and manufacturing teams to ensure antenna performance is maintained throughout production.
• Document design processes, results, and performance metrics for internal knowledge sharing and regulatory compliance.
• Stay up to date on emerging materials, methods, and technologies in miniature antenna design.
• Travel to support prototype builds in both Asia, Europe, and North America: ~15-20% of time yearly

Qualifications

Required:

• Bachelor’s or Master’s degree in Electrical Engineering, Physics, or a related field.
• 7+ years  experience in antenna design, preferably for compact consumer electronics, wearables or IoT devices.
• Proficiency with electromagnetic simulation tools such as Ansys HFSS, CST Microwave Studio, or FEKO.
  Experience with antenna measurement tools (e.g., vector network analyzers, OTA chambers).
• Strong understanding of RF fundamentals, matching networks, and PCB layout considerations for antennas.
• Proven ability to collaborate across disciplines and communicate technical concepts clearly.
• Knowledge of Industry Standards and Regulatory Requirements: Be familiar with industry standards and regulations related to wireless communication, such as those from the FCC, ETSI, or ITU.
  do

Preferred:

• Experience designing antennas for wearable or ultra-compact devices.
• Familiarity with Bluetooth, BLE, NFC, UWB, GPS, and multi-band antenna solutions.
• Knowledge of SAR compliance and RF regulatory requirements.
  Experience working with overseas manufacturing partners.
  
  

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave
• Amazing culture of collaborative and passionate coworkers

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1: $198,000 - $233,000
• Region 2: $180,000 - $212,000

Power Electronics Test Engineer

As a Power Electronics Test Engineer at Astranis, you will be responsible for developing, designing, and implementing tests and test systems (test support custom hardware) for all the custom electronics on our spacecraft. You'll prove that our suite of power designs work across environments to guarantee success on orbit.

Role

• Develop and design automated hardware and software solutions to test+validate electronics hardware
• Design PCBA's to interface with flight hardware
• Write software in Python to control bench equipment, devices under test, and other test hardware
• Work closely with the design team to provide feedback and insight through qualification and acceptance process
• Assist in recruiting, interviewing, and hiring additional teammates to our rapidly-growing team.

Requirements

• Associate's or B.S. degree in electrical or computer engineering, or equivalent technical degree
• A passion for hardware development, including working in a fast-paced environment and hands-on design and development
• Comfort with ambiguity and turning high-level requirements into clear design/test objectives
• Hands-on experience using electrical test equipment (multimeters, oscilloscopes, power supplies, eloads, etc.)
• Experience with debugging circuits with embedded software, from oscilloscope to scripting
• Experience using Python
• Don't meet them all? Not a problem. Please apply even if you do not meet all these criteria.

Bonus

• Understanding and experience in environmental testing such as vibration, shock, thermal, burn-in, and TVAC
• Power electronics experience such as switching converters and load switches
• Experience using Altium Designer
• Experience with designing and building electrical harnesses and connectors
• Experience automating tests, test equipment, or similar instrumentation

Reliability Test Intern (Fall 2026)

Internships at Astranis typically last for twelve weeks, and are hourly roles designed for students who are currently enrolled at a four-year university. 

As an Intern, you will have an amazing opportunity to work on hard problems — we pride ourselves on giving everyone at Astranis a chance to do meaningful work on complex projects, no matter their seniority. Many past interns have designed and tested hardware/software that is heading to space on our first satellite, and many of them are now full-time employees at Astranis. 

If you have already graduated from a four-year university, please apply to be an Associate Engineer.

Role

• Collaborate with cross-functional engineering teams to plan reliability tests for satellite hardware
• Support test plan and procedure development based on design specifications and mission profiles
• Set up, operate, and monitor environmental test equipment, including thermal chambers, thermal vacuum systems, vibration shaker tables, and combined thermal vibe chambers
• Execute reliability tests such as thermal cycling, thermal vacuum, and vibration
• Collect, analyze, and document test data to identify potential failure modes and ensure hardware meets reliability targets
• Design test fixtures, setup instrumentation and data acquisition systems

Requirements

• Currently pursuing a degree in Mechanical, Electrical, Aerospace Engineering, or a related technical field
• Strong interest in hardware reliability, testing, and hands-on engineering work in a fast-paced environment
• Ability to manage multiple tasks, prioritize effectively, and adapt to changing project needs
• Strong communication skills
• Must be onsite 5 days per week

Bonus

• Hands-on experience with environmental or reliability testing
• Familiarity with test equipment such as test chambers and DAQs
• Experience with data analysis tools in Python, MATLAB, or similar
• Exposure to hardware design, integration, or lab-based engineering projects
• Understanding of failure analysis, root cause investigation, or reliability engineering principles
• Previous internship, research, or project experience in aerospace or hardware-focused environments

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. 

Recent awards we’ve won include:

Great Place To Work Certified™ 2023

Best Place to Work by Built In 2023

Financial Times The Americas’ Fastest Growing Companies 2023

Deloitte Fast 500 Companies

IoT Analytics Company of the Year in 2022’s IoT Breakthrough Winners

We see a profound opportunity for data to improve the safety, efficiency, and sustainability of operations, and hope you consider joining us on this exciting journey. 

About Samsara Hardware Engineering:

Samsara's hardware systems bridge the gap between the rapidly evolving world of physical operations and our cloud platform that enables our customers to increase the safety, efficiency, and sustainability of their operations which power the global economy. The hardware footprint is big – we build ultra-low power sensors, ruggedized asset trackers, vehicle ADAS systems with AI/ML, telematics systems, and rackmount video inspection with AI/Ml, with more to come in the future. We leverage myriad technologies including low-power MCUs, big SoCs, DSPs, LTE, GPS, BLE, WiFi, imaging sensors, ML/AI/CV, accelerometers, and more.  Our challenges span the gamut from eeking out single-digit microamps to thermals to desense to cost reduction to antenna design to enclosure design that survives extreme environments. 

About the role:

We’re looking for an Electrical Engineer co-op to join our team. In the day-to-day, you will be responsible for working on the EE aspects of the design of products based on thorough feasibility, design, and cost studies encompassing key component selection, thermals, antenna, etc. We have a tremendous amount of telemetry and access to customers that help guide our design process. You will work directly with our customers to ensure we lead the industry with our product design. We run a collaborative process working closely with Product Management, PD, FW, EPM, NPI, and Hardware leadership to make excellent tradeoffs and choices. Throughout this process, you’ll share your expertise with other engineers. The US and Taiwan EE teams are supported by the Supply Chain team, laboratories, JDM design resources, and a growing supply base. You will work closely with these internal and external partners to achieve our objectives.

This role will be held at our San Francisco office. Co-ops are required to be in the office Tuesdays to Thursdays and remote work days on Mondays and Fridays. As part of the co-op program, we do provide relocation and housing support for the duration of the co-op. To be eligible for this role, you must be attending a university that supports full-time work as part of a 6-month co-op OR attend a university that will allow you to take 2 quarters or one semester off to work a co-op. Please do not apply if you are unable to commit to the full duration of this co-op. We are looking for this co-op to join us from January - June 2026. At this time, we are not accepting first-year co-op students. Ideally, this student is in their junior year of school as an undergraduate student and has previous internship and/or co-op experience. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will:

• Contribute to shipping successful product lines.
• Conduct research: Stay informed of the latest silicon possibilities from all the top semiconductor companies. 
• Know the system: Evaluate system feature tradeoffs and create the system specifications for development with product management and cross-functional engineering teams. 
• Prototype: Assemble EVKs, board hacks, or quick-turn fabrication for evaluating concepts or jump-starting firmware development.
• Design: Take a concept from block diagram to schematics and through layout; either on your own or navigate the process with JDM resources.
• Test: Create a validation plan for each phase of the product development through PVT and characterize the full electrical system for function, power, and use-cases.
• Failure analysis: Find the root cause of design inefficiencies and field failures, and improve design to meet performance and quality requirements.
• Manage: We bolster our internal development team with top JDM companies to design, validate, certify and manufacture quality products, certification labs and other external consultants. 
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

An ideal candidate has:

• Bachelor’s degree in progress in Electrical Engineering or a related technical field. We are looking for second or third-time co-op or Master level co-op students. We will not be considering first-time co-ops. Your target graduation timeline is May-June 2026. 
• You must be able to commit to a minimum of 6 months of full-time co-op employment and have a university that supports the co-op experience.
• Prior intern or co-op experience working on high-volume hardware programs.
• Solid fundamentals in digital, analog, and mixed-signal circuits.
• Schematic and layout knowledge in Altium or Cadence or CAD/Allegro.
• Ability to navigate tradeoffs between design, manufacturability, schedule, and cost.
• Hands-on experience with test instruments such as oscilloscopes, signal generators, spectrum analyzers.
• Knowledge of cameras, sensors, WiFi, LTE, Bluetooth, GPS, antennas, and batteries.
• Strong ability to collaborate with cross-functional teams and drive independent work.
• Excellent written and verbal communication skills in English.

At Samsara, we welcome all. All sizes, colors, cultures, sexes, beliefs, religions, ages, people. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.

About the role:

Samsara’s Hardware Reliability team enables an exceptional customer experience by enabling reliable hardware, identifying opportunities in product performance, and engaging cross-functionally to resolve key issues. Samsara’s Senior Hardware Reliability Engineer will design quality processes that guarantee the high-quality standards of Samsara's hardware. 

The Reliability engineer is responsible for implementing and executing comprehensive reliability strategies/plans that span the entire product development lifecycle from concept to warranty repair. The Reliability engineer quickly aggregates and analyzes test, field performance, and manufacturing data to drive actions internally and with our suppliers to ensure that we are building the highest quality product. Cross-functional collaboration with hardware, firmware, and operations is an essential part of the role.

This is a hybrid position open to candidates residing in the US, requiring you to visit our office in San Francisco three times a week.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together, and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will:

• Work cross-functionally with partners in Hardware/Firmware Engineering, Operations, and Support to ensure our customers have a best-in-class product experience.
• Design in reliability through the product development process and own product reliability modeling, testing, and validation.
• Set reliability requirements and allocate reliability targets to subsystems.
• Lead product quality investigations in addition to root cause and corrective actions with internal cross-functional team members and external vendors.
• Evaluate and investigate defect trends that improve incoming material and outgoing product quality.
• Identify opportunities for corrective actions and continuous improvement through field failure investigations.
• Create feedback loops to continuously improve the products in the field and the next generation.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• MSc/PhD in Engineering, Material Science, Physics, or related field.
• 10+ years of experience working in a Hardware Reliability Engineer role.
• Experience with stress testing; fatigue testing, vibration, and shock testing, electrical stress, and environmental stress.
• Experience with failure analysis methodologies.
• Understanding the physics of failure and the application of stresses to underlying failure mechanisms.
• Experience with Design for Reliability concepts.
• Experience with JDM development model.
• Experience with third-party test oversight, and test execution.
• Self-motivated, proactive, creative and critical problem-solving capabilities.

#LI-Hybrid

About the role:

We’re looking for a Senior Hardware Systems Engineer to join our fast-growing product line and team. In the day-to-day, you will be responsible for driving the EE aspects of the architecture and design of products based on thorough feasibility, design, and cost studies encompassing key component selection, thermals, antenna, etc. We have a tremendous amount of telemetry and access to customers that help guide our design process, and you will work directly with them to design the right product. We run a collaborative process working closely with Product Management, PD, FW, EPM, NPI, and Hardware leadership to make excellent tradeoffs and choices. Throughout this process, you’ll share your expertise with other engineers. The US and Taiwan EE teams are supported by the Supply Chain team, laboratories, JDM design resources, and a growing supply base. You will work closely with these internal and external partners to achieve our objectives.

This is a hybrid position requiring three days per week in our San Francisco, CA office and two days working remotely. This position requires travel up to 25% of the time and proximity to an international airport. Relocation assistance will be provided for this role. We are open to candidates residing in the U.S. who are willing and able to relocate to the Bay Area.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Ship successful products at scale (high volume).
• Conduct research: Stay informed of the latest silicon possibilities from all the top semiconductor companies. 
• Be an architect: Evaluate system feature tradeoffs and create the system specifications for development with product management and cross-functional engineering teams. 
• Spearhead the development process from prototyping through field validation according to performance, cost and schedule goals.
• Manage: We bolster our internal development team with top JDM companies to design, validate, certify and manufacture quality products, certification labs and other external consultants. 
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 5+ years of experience shipping high volume hardware programs with ODM and JDM partners.
• Systems design expertise such as chipset/SoC selection, power optimization, antennas/RF, batteries, sensors, PCB design, etc.
• Proven record navigating tradeoffs between design, manufacturability, schedule, and cost.
• Worked on a wide variety of systems for different use cases including automotive, indoor and outdoor industrial areas leveraging low power, wireless (LTE, BLE, WiFi, GPS), embedded AI/ML, imaging, sensors, etc.
• Proven record of system bring up/debug including desense, validation, power, etc.
• BS or MS degree in Electrical Engineering or related technical field.
• Ability to travel up to 25% when necessary.
• Strong ability to collaborate with cross-functional teams and drive independent work.
• Excellent written and verbal communication skills in English.

An ideal candidate also has:

• Experience with certifications and testing involved with industrial and automotive settings (ISO16750, AECQ100, etc).
• Schematic and layout experience in Altium and Cadence Allegro.
• Systems design expertise with cameras, extreme environmental conditions.
• Experience with design for supply, design for reliability / testing, design for manufacture.

#LI-Hybrid

Electrical Test Hardware Development Engineer

As an Avionics Test Hardware Development Engineer at Astranis, you will be responsible for developing, designing, and implementing hardware that will test our flight designs and ensure they work for our entire mission in space.

Role

• Develop and design automated hardware design to validate electronic flight hardware
• Design PCBA's to interface with flight hardware
• Review all avionics flight hardware to ensure sufficient DFT (design-for-test)
• Write software in Python to control bench equipment, devices under test, and other test hardware
• Work closely with the design team to provide feedback and insight through qualification and acceptance process
• Design, build, and support test infrastructure for hardware-in-the-loop tests

Requirements

• B.S. or M.S. in electrical or computer engineering, or equivalent technical degree
• A passion for hardware development, including working in a fast-paced environment and hands-on design and development
• Comfort with ambiguity and turning high-level requirements into clear design/test objectives
• Hands-on experience using electrical test equipment (multimeters, oscilloscopes, power supplies, eloads, etc.)
• Experience with debugging circuits with embedded software, from oscilloscope to scripting
• A passion for prototyping - designing PCBAs, 3D printing enclosures, etc
• Basic Programming Skills (Python Preferred)

Bonus

• Experience debugging electrical circuits especially signal integrity
• Experience using Altium Designer
• Experience using Python
• Experience with designing and building electrical harnesses and connectors
• Experience automating tests, test equipment, or similar instrumentation

Payload Operations Engineer

As a Payload Operations Engineer at Astranis, you will play a key role in planning, executing, and optimizing the in-orbit operations of our communications payloads. You’ll combine mission engineering expertise with RF systems understanding to ensure payload performance, reliability, and responsiveness throughout mission life. This role is ideal for someone who thrives at the intersection of space operations, RF systems, and software-driven telemetry and control.

Role

• Lead daily and long-term payload operations, including performance monitoring, anomaly resolution, and optimization of on-orbit communications systems.
• Support mission design and execution, including link budget validation, mission configuration, and payload commissioning.
• Develop and maintain software tools and dashboards for payload telemetry, trending, and health monitoring.
• Define and implement telemetry and telecommand (TT&C) strategies to ensure safe and reliable operations.
• Coordinate cross-functionally between mission operations, ground software, and RF hardware teams to ensure seamless command and control.
• Perform data analysis of our payload and TTC performance across the fleet to ensure consistent performance and health of our satellites.
• Participate in mission rehearsals and payload readiness reviews, contributing to mission planning and operations documentation.
• Assist in defining and developing automation strategies for on-orbit payload control and fault detection.

Requirements

• B.S. or M.S. in Electrical Engineering or related technical field.
• 0–7 years of experience in satellite operations, mission engineering, or RF systems engineering.
• Proficiency in Python and comfort developing telemetry visualization or automation tools.
• Experience with telemetry databases, command systems, or mission control software.
• Ability to diagnose and resolve complex system-level issues across hardware and software boundaries.
• Solid understanding of RF systems, modulation/demodulation, and link budgets.
• On call support for payload and TTC systems, up to one week per month
• Willing and able to obtain a security clearance
• Excellent written and verbal communication skills, with a collaborative mindset.

Bonus

• Experience in geostationary satellite payload operations.
• Familiarity with ground system architectures and RF test instrumentation.
• Experience with software development tools such as Git.
• Knowledge of embedded systems or spacecraft flight software interfaces.
• Experience with automation frameworks or machine learning applied to telemetry analysis.

Mechanical Integration Engineer

As a member of the Mechanical Integration team at Astranis, you'll be responsible for building parts, subsystems, and ultimately, entire satellites. You will work closely with designers to collaborate on design for manufacturability, technicians to ensure they have what they need to keep building hardware, and test teams to collaboratively produce the future of communication satellites. As we continue to grow our production capability, you will also have an opportunity to define new iterations of our factory including process improvements, equipment design and selection, and workflow definition.

Role

• Design high-level architecture and manage vehicle integration and test operations
• Define and author flight hardware integration flows, plans, processes, and procedures
• Evaluate proposed designs for manufacturability and integration
• Evaluate non-conformances to determine root cause and create actionable items and system improvements
• Work hands-on with flight hardware at build, test and launch sites to ensure mission success
• Design ground support equipment to assist with the assembly, integration and test of the spacecraft
• Create, maintain and communicate detailed schedules, ensuring the team is aware of tasks and deadlines, including resource identification and acquisition
• Assist in recruiting, interviewing, and hiring additional teammates to our rapidly-growing team

Requirements

• Bachelor's of Science degree in mechanical engineering, aerospace engineering, or equivalent
• 2+ years experience in hands-on mechanical engineering, manufacturing, or equivalent role (including internships or club experience)
• Hands-on experience with handling, lifting, or building complex assemblies
• A passion for hardware development, including working in a fast-pace environment and hands-on design and/or process and development
• Ability to not only find problems, but also quickly identify and evaluate multiple solutions
• Strong communication skills
• Strong organizational skills and attention to detail
• Ability to handle multiple tasks and prioritize
• Strong sense of accountability, integrity, and team focus with extensive multitasking and organizational experience
• Don't meet them all? Not a problem. Please apply even if you do not meet all these criteria.

Bonus

• Strong electrical and mechanical systems engineering intuition and critical thinking. 
• Comfort with ambiguity and turning high-level requirements into clear design/test objectives.
• Experience with 3D CAD
• Working knowledge of MATLAB or Python

PCBA Manufacturing Engineer 

As a PCBA Manufacturing Engineer, you will work across design engineering, supply-chain, quality, and our manufacturing partners to drive PCBA manufacturing with on time delivery.

Role

• Define manufacturing readiness requirements and lead key milestone reviews to ensure all stakeholder deliverables are complete.
• Work with the Design Engineering team to identify and escalate manufacturing challenges early in product development by enforcing DFM, DFA and DFS principles.
• Drive closure of all operational issues during pre-production builds.
• Investigate failures in production, test, and integration. Identify and mitigate underlying root causes to prevent reoccurrence and foster continuous improvement.
• Deliver manufacturing processes capabilities including equipment capability, quality controls, materials characterization, and workmanship standards.
• Actively monitor the success of products and processes through the production ramp.
• Provide direction to contract manufacturing, suppliers, and engineers to manage quarantine and rework activities. 

Requirements

• Bachelor's Degree in Electrical Engineering (or equivalent)
• 5+ years of experience in PCB/PCBA fabrication facility
• 3+ years supplier quality, manufacturing, or design experience
• Experience in board assembly process and equipment (for example: Stencil print, SPI, pick & place, reflow, AOI, ICT, x-ray inspection).
• Experience leading DFX reviews to deliver design to manufacturability, testability, quality, and reliability standards
• Must be onsite 5 days a week 
• Certified or significantly familiar with IPC-610

Bonus

• Master’s Degree in Electrical Engineering (or equivalent)
• 7+ years of experience in PCBA/PCB supply chain, manufacturing or engineering.
• 5+ years’ experience with industry standard PLM and DFX systems, Mentor/Valor preferred.
• Experience performing Design and Process Failure Modes and Effects Analyses.
• Experience with IPC standards for PCB, PCBA, and RFPC fabrication, assembly, and test.
• Experience in Polymeric application, including conformal coating, staking and underfill.