About the Role

We are seeking a seasoned Senior Backend Engineer to join the Roku APPS team and help shape our large-scale, consumer-facing platform. In this role, you will design, build, and operate highly available and scalable distributed services used by millions of devices worldwide. You will collaborate closely with Product and Design teams to drive features from concept to production, mentor engineers, and influence architectural decisions across the platform.

This role is ideal for a self-starter who thrives on solving complex problems at scale, has a strong operational mindset, and enjoys balancing hands-on engineering with strategic impact. You will have the opportunity to work on challenging distributed systems, help adopt best practices, and ensure our platform remains reliable, performant, and innovative.

About the Team

The Roku APPS team is a group of highly skilled technologists building innovative platform products and services that power the Roku ecosystem for over 100M+ users and streaming devices. We focus on critical device services - including setup, configuration, software updates, and smart home integration that ensure seamless experiences across millions of devices.

As part of Roku’s broader mission to lead the streaming industry, our team drives the architecture and implementation of scalable, reliable services that support the Roku platform and enhance the way users discover and interact with content. We thrive on solving complex technical challenges, delivering high-impact features, and shaping the future of connected entertainment.

For California Only - The estimated annual base salary for this position is between $250,000 - $280,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing

• Build and own large-scale platform services used internally and by millions of devices.
• Lead architectural discussions and design highly available, scalable, distributed systems.
• Partner with Product and Design to deliver features from ideation through production and ongoing support.
• Manage technical scope, priorities, and delivery timelines.
• Champion engineering excellence through hands-on development (70%), code/design reviews, and mentorship.
• Evaluate emerging technologies and drive adoption of best practices across engineering, QA, and operations.

We're excited if you have

• 8+ years of experience designing, building, and operating large-scale backend and distributed systems.
• Strong software development experience (Java preferred).
• Expertise in building large-scale cloud services in AWS and/or Google Cloud.
• Deep understanding of infrastructure fundamentals (networking, compute, storage, containers) with hands-on experience troubleshooting Kubernetes clusters and distributed systems in production.
• Experience selecting appropriate data stores and analyzing performance, scalability, and consistency trade-offs.
• Track record of monitoring deployments and diagnosing production issues.
• Strong understanding of end-to-end web architecture, from client devices to backend services.
• Bachelor’s degree in CS, CE, or equivalent experience.

#LI-SG1

About the team

Subscriptions are a key growth area for Roku and are a significant growth path. The subscription platform is part of every step of the customer journey from product placement, purchase, renewals, and viewing experience of digital content on TV and smart home products in domestic and international markets. It also empowers our partners with real-time subscription information, ensuring customers have a smooth purchase and viewing experience. In this role, as part of the subscriptions platform team, you will envision, architect, build, and run a highly available, fault-tolerant, efficient, and performant platform that scales to billions of viewers.

About the role 

In this role, you will lead the architecture and implementation of a highly available, fault‑tolerant, and performant subscriptions platform that scales to billions of viewers across AWS/GCP, owning key initiatives end‑to‑end while coding roughly 80% of the time. You’ll evaluate and adopt new technologies, design shared architectural layers (queuing, event systems, shared memory), and collaborate across Product, Engineering, QA, and Ops to deliver resilient services spanning streaming, APIs, notifications, and batch workloads. As a hands‑on technical leader, you will set engineering excellence by example, drive CI/CD automation and platform reuse, influence roadmap through cross‑team architectural discussions, and consistently turn complex requirements into reliable, well‑documented systems.

For California Only - The estimated annual salary for this position is between $186,000 - $388,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Lead the evaluation and implementation of new technologies and designs. Evaluate emerging technologies and seek innovative solutions to address existing and new challenges
• Engage in architectural discussions across multiple teams, influence the roadmap, and take ownership of key projects and initiatives 
• Providing technical leadership and expertise to drive platform capabilities to ensure high availability and scalability
• Demonstrate engineering excellence practice by setting expectations and leading by hands-on examples
• Own building platform features, driving directly with product and other engineering teams
• Own design and implementation of shared architectural layers (e.g., queuing, event systems, shared memory clusters) and libraries that can be used across teams
• Review technical specification documents, provide feedback, and collaborate for best in class solution
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops
• Be an evangelist for platform innovation and reuse
• Be actively involved in code/design reviews and expected to code 80% of the time

We’re excited if you have 

• 10+ years of experience in architecting, implementing, and running large-scale services, specifically in subscriptions, purchase, and billing domains
• Experience building systems of various workloads - streaming, API, notifications, batch, etc. 
• Expertise in various subscription flows, including tax, payment, purchase, renewal, dunning, cancellation, repurchase, and invoicing. 
• Strong architectural design experience, great track record of building a highly available and scalable subscription platform
• Strong expertise with cloud solutions/systems across cloud with AWS or GCP is a must 
• Strong experience in designing and leading the implementation of highly complex transactional systems, collaborating with teams across the organization
• Strong passion for technology and adding value to the bottom line through technology
• Strong passion & expertise with automation, including building and adopting CI/CD pipelines
• Experience with multi-cloud solutions is a plus, and the ability to offer technical guidance to design, deploy, and scale applications across multiple cloud environments
• Experience integrating with various streaming and subscription platforms like Amazon, Apple, Google, and Samsung is a plus

#LI-DH2

About the Role

We are seeking a seasoned Senior Backend Engineer to join the Roku APPS team and help shape our large-scale, consumer-facing platform. In this role, you will design, build, and operate highly available and scalable distributed services used by millions of devices worldwide. You will collaborate closely with Product and Design teams to drive features from concept to production, while also mentoring engineers and influencing architectural decisions across the platform.

This role is ideal for a self-starter who thrives on solving complex problems at scale, has a strong operational mindset, and enjoys balancing hands-on engineering with strategic impact. You will have the opportunity to work on challenging distributed systems, contribute to the adoption of best practices, and ensure our platform remains reliable, performant, and innovative.

About the Team

The Roku APPS team is a group of highly skilled technologists building innovative platform products and services that power the Roku ecosystem for over 100M+ users and streaming devices. We focus on critical device services - including setup, configuration, software updates, and smart home integration that ensure seamless experiences across millions of devices.

As part of Roku’s broader mission to lead the streaming industry, our team drives the architecture and implementation of scalable, reliable services that support the Roku platform and enhance the way users discover and interact with content. We thrive on solving complex technical challenges, delivering high-impact features, and shaping the future of connected entertainment.

For California Only - The estimated annual salary for this position is between $275,000 - $300,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing

• Build and own large-scale platform services used internally and by millions of devices
• Lead architectural discussions and design highly available, scalable, distributed systems
• Partner with Product and Design to deliver features from ideation through production and ongoing support
• Manage technical scope, priorities, and delivery timelines
• Champion engineering excellence through hands-on development (70%), code/design reviews, and mentorship
• Evaluate emerging technologies and drive adoption of best practices across engineering, QA, and operations.

We're excited if you have

• 10+ years of experience designing, building, and operating large-scale backend and distributed systems
• Strong software development experience (Java preferred)
• Expertise in building large-scale cloud services in AWS and/or Google Cloud
• Deep understanding of infrastructure fundamentals (networking, compute, storage, containers) with hands-on experience troubleshooting Kubernetes clusters and distributed systems in production
• Experience selecting appropriate data stores and analyzing performance, scalability, and consistency trade-offs
• Track record of monitoring deployments and diagnosing production issues
• Strong understanding of end-to-end web architecture, from client devices to backend services
• Bachelor’s degree in CS, CE, or equivalent experience

#LI-SG1

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. 

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For California Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it
  
  

#LI-SSC

#LI-Onsite 

Who We Are:

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

About the Role:

We're looking for a Senior Telemetry Design Engineer to design the telemetry specs and frameworks that power our AAA games from early development through live operations. Operating within Central Services, you will bridge the gap between our Business and Technical Data teams. Your main goal: translate high-level business strategies into clear, actionable telemetry designs. By ensuring every data point we collect is tied to a specific business outcome, you'll empower our publishing and creative teams to drive growth and craft exceptional player experiences.

What You Will do:

• Turn strategic business goals into clear telemetry specs and frameworks designed for seamless implementation by the development team.
• Define and enforce data standards, naming conventions, and data contracts to keep data consistent across all our games and prevent technical debt.
• Work closely with studio developers to clearly define data warehouse requirements and ensure smooth implementation.
• Partner with dev and Data QA teams to validate telemetry, troubleshoot bugs, and ensure data is accurate and ready for downstream teams to use.
• Contribute directly to the studio codebase by writing telemetry hooks and providing hands-on integration support when needed.

What You Need:

• 5+ years of experience as a telemetry architect, telemetry designer, or data analyst in gaming, tech, or entertainment.
• Proven experience designing and implementing scalable telemetry frameworks.
• Solid understanding of the full Game Development Lifecycle, from initial design through Live Ops.
• Deep understanding of data concepts like raw streaming data, data modeling, and metadata.
• Proficient in Advanced SQL and working with platforms like Snowflake and Databricks.
• Experience handling data contracts, GDPR compliance, and PII.
• Ability to write clear telemetry specs and translate complex technical concepts for engineering, product, and business teams.
• An autonomous self-starter who can dive deep into complex technical issues without losing sight of the big picture.

Bonus Points:

• Experience directly instrumenting telemetry with game studio partners.
• Hands-on experience with game engines (especially Unreal) and C++.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

We are looking for a Staff Engineer to join our Shared Platform Services team. This is a hybrid role based in San Jose, CA, reporting to the Sr. Manager, Software Engineering QA. As a Staff Engineer, you will be instrumental in leading functional, system, and automation testing for Zscaler features while expanding automation infrastructure to enhance quality and efficiency.

What you’ll do (Role Expectations)

• Collaborate across Development, Product Management, and Federal Cloud Operations teams to ensure timely delivery of high-quality products through design, testing, and release

• Lead functional, system, and automation testing efforts, expanding automation coverage and ensuring efficiency and robust quality assurance

• Manage Federal cloud processes, including deployment procedures, monitoring, and resolving escalations in collaboration with Federal operations and support teams

• Investigate and resolve complex production issues by identifying root causes, verifying fixes, and developing comprehensive test plans

• Contribute to team growth by hiring and training new talent, fostering a culture of inclusivity, and staying updated on evolving technologies

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• US Citizenship Required with 5+ years of Software Development or Quality Assurance experience, specifically within networking and security environments

• Strong expertise in cloud-hosted applications, database operations, API testing, microservices architecture, and automation scripting using Python

• Proficiency in L4-L7 Internet and Security networking protocols including TCP/IP, SSL/TLS, and HTTP/HTTPS

• Experience with deployment and monitoring tools such as Jenkins, GitLab, and Ansible

• Bachelor’s degree in Computer Science Engineering or a related field with a proven ability to troubleshoot complex cloud issues

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI in testing and automation, leading quality teams, and familiarity with FedRAMP qualification

• Deep knowledge of Linux system administration, traffic generation tools like Ixia or Spirent, and relevant cloud or networking certifications

• Understanding of authentication systems such as LDAP and SAML, encryption solutions, and debugging Linux systems

#LI-JM1 #LI-Hybrid

Role

We are looking for a Director, Software Engineering to join our team. This is a hybrid role based out of our San Jose HQ (minimum 3 days a week on Tue, Wed, Thu), reporting to the VP, Engineering for the Zero Trust Branch (Zero Trust Exchange) department.

In this role, the Director of Software Engineering will lead the gateway/datapath engineering organization, owning the architecture, delivery, and operational excellence of high‑performance, highly reliable traffic processing systems. This role drives the technical strategy and execution for critical dataplane capabilities, ensuring scalable, secure, and observable performance that directly impacts customer experience and platform stability.

What you’ll do (Role Expectations)

• Set technical direction and architecture for the gateway/datapath, driving scalable, high-performance designs while balancing across considerations such as latency, throughput, resiliency, and cost
• Lead and grow the engineering organization, hiring and developing a strong high performing team, and building a culture of accountability, execution, and continuous improvement
• Drive delivery of critical dataplane capabilities, translating business priorities into clear roadmaps, milestones, and measurable outcomes, and consistently shipping high-quality releases
• Own operational excellence for production systems, improving reliability, observability, incident response, and SLO/SLI discipline to meet availability and performance targets
• Partner cross-functionally with Product, QA, Security, SRE, and peer engineering teams to align priorities, manage dependencies, and ensure end-to-end customer impact

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 15+ years of software engineering experience, including 7+ years leading engineering teams delivering complex, production-grade systems
• Proven experience building and operating high-performance gateway/datapath or networking systems (e.g., L4–L7 proxies, firewalls, VPN/tunneling, packet processing, routing/switching, traffic steering) with strong fundamentals in performance and reliability
• Demonstrated ability to set technical strategy and drive execution across multiple workstreams, with a track record of shipping impactful capabilities on predictable timelines
• Strong production ownership experience: operating mission-critical services, driving SLOs/SLIs, incident management, root-cause analysis, and continuous reliability improvements
• Excellent cross-functional leadership and communication skills, able to align engineering, product, and operations stakeholders around priorities and tradeoffs

What Will Make You Stand Out (Preferred Qualifications)

• Strong experience designing, building, and operating SD-WAN datapaths and control/data plane interactions (overlay networking, tunnel encapsulation, traffic steering, QoS, path selection, failover, and telemetry)
• Experience delivering gateway/datapath capabilities in cloud-native, multi-tenant environments, including robust observability and automated safe rollout strategies
• Strong experience with routing and switching fundamentals and implementations (e.g., BGP/OSPF, ECMP, VRFs, VLANs) in high-scale production environments

#LI-Hybrid

#LI-CM3

ABOUT THE TEAM

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are continuing to expand our product portfolio, now moving into the surface maritime domain. Products like Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and surface products in the pipeline will create a system-of-systems that enable a multitude of autonomous missions across all maritime domains. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability. 

ABOUT THE JOB

We are seeking a highly motivated and experienced Senior Systems Integration and Test Engineer to join our Maritime team. You will work closely with the program leadership and a wide spectrum of cross-departments to help build a team focused on solving hard problems and changing the industry forever. In this role you will be responsible for designing and supporting the integration of various subsystems, leading the testing effort, and ensuring overall system performance meets the required specifications and standards. Join our dynamic team and help us build the next generation of surface platforms.

WHAT YOU'LL DO

Design & Integration:

• Conduct vehicle platform system design & analysis as required by your supported program
• Generate design reviews, requirements analysis, and system verification planning to ensure compliance with project goals and industry standard
• Support the design, integration, and verification process of various subsystems, including sensors, navigation, propulsion, communication systems, autonomy software, and power systems, into a complete and fully functional surface platform
• Develop a path to product integration via generating and tracking requirements, design validation, integration and testing and establishing success criteria for any new feature or capability
• Work within a dynamic team of multidisciplinary engineers and specialists throughout the life of product design, integration, and test efforts
• Identify improvements and new capabilities that map to platform roadmap

Test:

• Support the development, review, and execution of comprehensive test plans for development, integration, verification and acceptance testing
• Perform as Technical Lead and consulted resource for troubleshooting, repair, operation, and maintenance of our surface platform in the field
• Development and maintenance of all test documents for surface platform systems
• Support the development and maintenance of a test and evaluation program that may be subject to Government test & evaluation standards
• Assist with the collection and analysis of metrics from field testing
• Assist with technical review of detailed test reports to test & evaluate surface platforms and new capabilities

Sustain:

• Develop and maintain processes, tools and quality assurance practices for surface platform and payload data as well as issue tracking and resolution
• Maintenance of vehicle architecture including all interfaces for all aspects of the platform
• Support the development and implementation of processes for maintaining configuration control, version control, documentation and overall safety compliance throughout the entire development and test cycle, including land and sea based efforts for extended hours as required
• Support the development and implementation of an integrated product support program for operational support and maintenance needs

Program Support:

• Perform as key stakeholder for a Department of Defense program
• Collaborate with external partners or customers in the design, integration & test phases, addressing their requirements and ensuring successful integration of their payloads into the surface platform and of the system into the overall mission lifecycle
• Ability to travel as required for test planning and execution
• Support proposals with technical content and estimates for efforts

REQUIRED QUALIFICATIONS:

• A genuine interest and 7+ years experience in systems engineering, integration and testing
• Familiarity with concepts of mechanical engineering, electrical engineering, and control theory
• Experience in field test and operationally focused environments
• Ability to use basic test equipment
• Proficient in reading and understanding engineering drawings and specifications
• Extremely organized and detail-oriented
• Excellent verbal & written communication skills (effective for broad audiences)
• A sincere commitment to a positive, inclusive, and collaborative culture
• Bias toward action – if you see a problem, you want to solve and fix it
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel 30% with potential surges above 30%

PREFERRED QUALIFICATIONS:

• Experience operating and testing complex systems in a maritime environment
• Experience in a product development environment
• Proficiency in data analysis tools: Python, MATLAB, R, SQL
• Experience with Linux and command line interfaces as well as software debugging
• Experience managing a test and evaluation program

About Epirus

Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security. Epirus' flagship product, Leonidas, is a software-defined system built using intelligent power management techniques that allow power-hungry systems to do more with less.  

Job Summary: This is an exciting role in an innovative company. The ideal candidate for the position is someone who has experience developing high-performance real-time, autonomous software systems to rapidly develop next-generation products.  Employ your expertise by developing software systems that support functions such as autonomous target tracking, agile electronic beam-forming, and real-time hardware control.

Responsibilities: 

• Design and implement software of embedded devices and systems from requirements to production and deployment 
• Design, develop, code, test, and debug system software 
• Build real-time control software for a variety of projects 
• Analyze and enhance the efficiency, stability and scalability of system resources 
• Direct software QA and optimize I/O performance 
• Interface with hardware design and development 
• Assess third-party and open-source software 
• Lead teams to create minimum viable products from an idea 
• Derive software frameworks and architectures to accelerate development 
• Mentor peers to advance team velocity

Basic Qualifications:

• 5+ years of development in C and C++ 
• 3+ years working with embedded systems 
• Additional experience with one or more modern systems language(s): Python, Java, VHDL, Verilog, Go, Rust, etc. 
• Versed in multithreaded design (concurrency primitives, resource management, etc.) 
• Competent in computer science concepts (algorithms, data structures, object-oriented programming, etc.) 
• Strong foundations in mathematics and linear algebra 
• Adequate knowledge of reading schematics and data sheets for components 
• Bachelor’s degree in computer science or a similar discipline, Master’s degree preferred
• This is an on-site position; availability to work in our HQ in Torrance is required

Preferred Skills and Experience:

• 2+ years of experience with Xilinx FPGA and Embedded Cortex CPU architectures 
• Experience building software for real-time operating environments with specific latency requirements 
• Experience with Embedded Linux and/or software integration with FPGA firmware 
• Knowledge or experience with digital signal processing (DSP) or radio frequency (RF) technologies 
• User experience with DevOps Pipeline tools 
• Experience with Docker or Helm  
• Scrum Master Certification 
• Desire to mentor new hires 
• Exposure or interest in sensor fusion, machine learning, or AI

ITAR REQUIREMENTS: 

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

At Epirus, you’ll work with technical peers and great people—and get first crack at some of the defining technology challenges of our time. Here, “impossible” is just a challenge. We're a diverse, fast-growing team of change-makers fueling the future of energy with revolutionary solutions. Join us and rewrite the rules. 

Vast is looking for an Electrical Engineer, Crew Avionics, reporting to the Manager of Human Interface Avionics, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. 

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Own hardware from “cradle to grave”, coordinating with other teams to rapidly iterate on and deliver quality avionics products. You will own your hardware products in both success and in failure, though in the case of the latter you can expect support and resources rather than reprimand.
• Translate high-level operational requirements into detailed electrical specifications and design documents.
• Perform trade studies and analyses to select optimal components, technologies, and design approaches.
• Ensure that development and testing is carried out in a safe and controlled manner, prioritizing the safety of employees and the astronaut crew above all else. 
• Design and develop complex multi-layer printed circuit boards (PCBs) for flight hardware, adhering to rigorous space-grade standards.
• Schematic capture, component selection, and layout for high-reliability boards in a punishing space environment.
• Work with the PCB layout design team to help with the layout phase of design, and occasionally step up and layout a coupon or even flight PCB yourself 
• Perform signal integrity, power integrity, and EMI/EMC analysis to ensure robust designs.
• Analysis & Simulation:
• Conduct circuit analysis, worst-case analysis, fault tolerance analysis, and derating analysis.
• Utilize simulation tools (e.g., SPICE, MATLAB/Simulink) for design verification and optimization.
• Test & Verification:
• Develop and execute comprehensive test plans for PCBs and integrated systems.
• Troubleshoot and debug hardware, identify root causes, and implement corrective actions.
• Support environmental testing (vibration, shock, thermal vacuum, radiation, EMC) and flight qualification campaigns.
• Documentation & Review:
• Generate clear and concise design documentation, test procedures, and reports.
• Participate in design reviews and provide technical guidance to junior engineers.
• Participate in design reviews for peer’s PCB designs.
• Collaboration:
• Work closely with cross-functional teams including software, mechanical, systems engineering, manufacturing, test, and operations to ensure seamless cooperation on bringing the design to its final integration, flight, and decommissioning. 
• Communicate technical information effectively to both technical and non-technical stakeholders.

Minimum Qualifications:

• Bachelor’s degree in Electrical Engineering or a related field.
• Some experience in electrical engineering, with a focus on system and PCB design.

Preferred Skills & Experience:

• Proficiency in schematic capture and PCB layout tools (e.g., Altium Designer, Cadence Allegro, KiCad).
• Experience with analog and digital circuit design, microcontrollers, FPGAs, and communication interfaces (e.g., I2C, SPI, Ethernet, RS-422).
• Understanding of signal integrity, power integrity, and EMI/EMC principles.
• Experience with simulation tools (eg. SPICE) to evaluate design decisions and de-risk new circuit designs before spending the money on hardware. 
• Experience with hardware testing, troubleshooting, and debugging.
• Familiarity with audio electronics (speakers/microphones/amplifiers
• Experience with high-reliability/fault-tolerant electronics for aerospace or defense applications.
• Familiarity with space-grade components and radiation effects.
• Experience with human-machine interface (HMI) design principles.
• Experience designing audio systems - whether professionally or for your home movie theater!
• Experience designing lighting systems - whether professionally or for your spooky Halloween LED display!
• Familiarity with complex system architectures.
• Experience with environmental testing for flight hardware.
• Proficiency in scripting languages (e.g., Python) for automation and data analysis.
• Hands-on engineering - equal willingness to work at your desktop computer, with a soldering iron in the lab, and with a broom to clean up afterwards. 
• Ability to work effectively in a fast-paced, dynamic, and team-oriented environment.
• Excellent problem-solving and communication skills.
• Ability to independently but also collaboratively as a teammate to achieve ambitious goals.
• Willing to make mistakes, take responsibilities, work independently and be transparent about your work

Additional Requirements:

• Able to lift 25 lbs unassisted.
• Willingness to work evenings and/or weekends to support critical mission milestones.

Pay Range: 

• Electrical Design Engineer I: $103,000
• Electrical Design Engineer II: $112,340 - $159,468
• Senior Electrical Design Engineer: $137,760 - $195,552

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $300,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

What we do

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

The Role

We are looking for a Principal Research Engineer – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. 

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do 

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time. 
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity. 
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team 
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue. 
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals 
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design 
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application 
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred 
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. 
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. 
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing 

•  Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training. 
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains 
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Compensation: $250,000 to $350,000 OTE + Equity

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

About the role:

As a key member of the product team at Aptos, you will play a pivotal role in building industry-leading Web applications and tools that empower developers in the Web3 ecosystem. You’ll work on a wide range of projects designed to enhance consumer-facing experiences, including decentralized applications for trading and novel experiences, wallets, SDKs, APIs, standards, and protocols.

We are a lean, high-impact team that values initiative and independence. Engineers in this role will drive large, complex projects, shaping the future of Web3 products and applications.

What You’ll Be Doing:

• Leading initiatives to design, build, and optimize Web3 products and applications for Aptos
• Developing new features and integrations to enhance existing experiences
• Maintaining and improving current platforms and web interfaces
• Writing clean, performant, and well-tested code
• Collaborating closely with designers, infrastructure engineers, and other product engineers

We’re looking for:

• 5+ years of experience building and shipping user-facing products
• Deep expertise in JavaScript, TypeScript, and React
• Strong problem-solving skills and the ability to work autonomously in a fast-paced environment
• Experience with UX/UI design and systems (a plus)
• Web3 experience or familiarity (a plus)
• Background in payments, defi, or tradfi (a plus)
• 2+ years of experience leading technical teams

The base salary range for this full-time position is $220-$250k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits.

Overview

At Copper, we’re reinventing home appliances for an electrified future. Our flagship Charlie stove pairs high-performance induction with integrated energy storage to make the switch from fossil fuels a no-brainer. We’re a small, fast, collaborative team that ships, learns, and iterates quickly.

As a Software Engineer, you’ll help build and scale the software systems that connect our appliances, cloud infrastructure, and customer-facing applications. You’ll work across cloud services, data pipelines, mobile and web applications, and the interfaces that tie our software to real hardware in people’s homes.

This is a high-impact, hands-on role with end-to-end ownership. You’ll partner closely with a small, cross-functional team, while shipping mission-critical features that support customers, manufacturing, operations, and Copper’s broader climate mission. We’re looking for someone who thrives in ambiguity, drives clarity across boundaries, and can scale both systems and engineering practices as the company grows. .

We value diversity and are committed to building a team that reflects a wide range of backgrounds, experiences, abilities, and perspectives. We’re especially focused on fostering an inclusive workplace where everyone can contribute to our shared mission.

This is a full-time position and it is expected to be in-office 4 days per week. Our office is located in Berkeley, CA.

What you'll do

• Own the design, implementation, and evolution of critical software systems spanning cloud infrastructure, mobile applications, and internal tools. 
• Design, implement, test, and ship features and systems across the cloud, mobile app, and internal tools used by customers, installers, manufacturing, and operations teams.
• Own and grow data pipelines and cloud systems that power fleet visibility, analytics, and participation in programs such as virtual power plants.
• Partner with hardware, firmware, manufacturing, and product teams to build software that integrates cleanly with real devices and real-world workflows.
• Refine feature requirements, balancing user needs, system complexity, reliability, and long-term maintainability.
• Partner with engineering leadership to shape technical direction and prioritize high-impact work.
• Support mobile releases and QA, with a bias toward automation and repeatable processes.
• Lead by example through high-quality code, thoughtful design, and strong engineering practices. 
• Contribute to code reviews and mentor other engineers through hands-on collaboration 
• As the system matures, help support operational needs, including occasional on-call incident response outside of normal business hours.

What you'll bring

Compensation & Benefits

The salary range for this role is $190,000 -$ 228,000. We are committed to equitable compensation, and we offer a generous benefits package to make sure you have the support you need. We cover 100% of the premiums for our employees and 50% of the premiums for their dependents on our base plans for medical, dental, and vision insurance. We offer a 401(k) plan for employees to contribute to, in addition to many other benefits. Every employee, regardless of gender identity or expression, is eligible for 16 weeks of paid parental leave after three months of employment (eight weeks through Channing Copper and eight weeks CA Paid Family Leave). 

Equal Employment Opportunity

We are committed to creating an equitable and inclusive environment for all our employees and are seeking to build a team that reflects the diversity of the people we hope to serve with our products. We are proud to be an equal opportunity employer.

About Us

Copper's vision is a future where every home is electrified with abundant clean energy. Our mission is to make decarbonization accessible to everyone by selling electric home appliances that enrich their daily lives. We're reducing the cost of electrification by integrating batteries into household appliances, starting with the stove. Our work has been funded by the Department of Energy, in an effort to reduce reliance on fossil fuels and increase energy resilience with products that are high-performance, safe, intuitive, and robust. As we build our team and pursue our mission, we do it with a strong sense of our core values because it's not just what you do, it's how you do it. You'll see this in high-level decisions, how we run meetings, our day-to-day work, hiring, and our interactions with customers and the broader community. We intend to have a massive impact on our team, our neighborhood, and the world. 

ABOUT THE TEAM

The Connected Warfare Division is integrating advanced computing, AI-driven decision-making, and warfighter-centric technology into a single, cohesive ecosystem to revolutionize modern combat. We create joint, time-sensitive, multi-domain, connected mesh systems that serve as the substrate providing the source of truth for critical decisions. This ecosystem enables connected warfare with disproportional impact by connecting every robot, human, and sensor in every domain, bringing together hundreds of thousands of endpoints across the globe.

One of the three business lines is Warfighter Systems, which brings cutting-edge technology directly to those on the frontlines. Our flagship Eagle Eye headset and integrated helmet system exemplifies this approach, leveraging best-in-class commercial partnerships to enhance soldier capabilities. Wearable tech, immersive mission command tools, and seamlessly integrated software and hardware create an ecosystem that improves situational awareness, survivability, and combat effectiveness. From training to battlefield operations, Anduril's Warfighter Systems designs tools that move at the speed of war, ensuring that soldiers are better connected, more lethal, and more resilient.

ABOUT THE JOB

We’re seeking a Senior Technical Program Manager to drive hardware design and development efforts across several of Connected Warfare’s largest programs. This role requires a unique blend of technical expertise, program management experience, customer focus, and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Program Management: Align program roadmaps, manage timelines, and allocate resources to ensure successful delivery and production-quality. Balance competing priorities across multiple products and programs in a fast-paced, startup environment.
• Cross-functional Collaboration: Serve as the primary liaison between research, engineering teams, product management, and external stakeholders—including defense contractors and government entities. Align cross-functional teams on their goals, dependencies, and deliverables. Drive effective communication and collaboration across distributed teams and locations.
• Technical Expertise: Understand the architecture, dependencies, and technical challenges of defense-related systems. Support engineering teams in resolving technical issues, making trade-offs to meet division objectives. Ensure compliance with industry standards and government regulations, such as ITAR and RMF.
• Risk Management: Identify and mitigate risks proactively, including technical, schedule, and compliance-related risks. Monitor dependencies, anticipate bottlenecks, and adjust plans as needed to maintain program momentum.
• Stakeholder Management: Manage relationships with key suppliers, customers, partners, and government agencies, ensuring program alignment with contractual obligations and stakeholder expectations. Prepare and deliver clear program updates, technical briefs, and performance reports for internal and external audiences.
• Process Improvement: Implement and refine processes to enhance program execution and efficiency within a startup environment. Leverage best practices in program management while adapting to the unique challenges of the defense sector. Cultivate knowledge management repositories and CI/CD pipelines to build processes that result in production-quality engineering deliverables.

REQUIRED QUALIFICATIONS

• Minimum 10+ years managing complex hardware development programs through all phases of the hardware development cycle.
• At least 8+years as Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology or aerospace and defense company.
• Strong technical background with familiarity in systems engineering, software development, and networking
• Proven client-facing technical program management and/or systems engineering experience
• Demonstrated ability to translate complex technical issues into business-impact insights
• Exceptional organizational and communication skills
• Experience overseeing the full development lifecycle of a hardware product or a critical component
• Proven experience in component sourcing and vendor management
• Willingness to travel as needed (up to 25%)

PREFERRED QUALIFICATIONS

• Hands-on experience with custom battery pack engineering, from cell selection and mechanical design to robust BMS implementation and safety validation.
• Ability to work within organizations with minimal structure and with minimal direction
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Familiarity with a defense industry compliance, and reporting requirements
• Experience with developing and operating distributed systems, CI/CD pipelines, APIs, middleware, 3rd-party software developer experience initiatives, and/or modular system architectures
• Experiencing with managing Test and Evaluation or continuous Quality Assurance of complex programs
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Bachelor’s Degree in an Engineering discipline

WHAT YOU’LL DO

• Lead the definition, design, and execution of product verification and validation activities throughout the product development life cycle
• Implement and automate software verification tests by defining and delivering test cases written against software requirements
• Analyze and simulate requirements per customer specifications or developed internal product requirements
• Review use cases, requirements, and specifications for products to ensure that requirements and specifications can be verified and validated
• The review also includes risk mitigations, usability, and regulatory requirements
• Execute complex testing, perform in-depth statistical analysis, and interpret results independently
• Ensure that testing and results are traced to requirements; activities are completed with objective evidence
• Summarize results in reports with conclusions or recommendations
• As a hands-on subject matter expert, lead ad hoc testing and potential failure mode analysis to characterize product designs and performance
• Conduct V&V Design Reviews as specified in project plans, and in accordance with company procedure
• Maintain knowledge of current regulatory requirements and standards as they pertain to the development and testing of products
• Provide technical leadership to a growing team
• Gain a working understanding of Anduril’s business lines and collaborate with leaders to build cohesive, end-to-end experiences for our users
• Be an advocate for excellent engineering culture across the team

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Bachelor's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field, or equivalent experience
• 4+ years of experience in Software testing or related technical experience
• Experience with requirements based verification and implementation of verification strategies with a strong emphasis on automated tests
• Have extensive knowledge of software development, processes, and verification tools, such as C/C++, Python
• Track record of architecting software test plans in the Aerospace and Defense space
• In-depth knowledge of requirements management, risk based testing approaches, defect tracking, and configuration control
• Strong Knowledge of Software Testing Principles And Methodologies
• Experience in Software Development Life Cycle And Software Verification Techniques
• Knowledge of Software Quality Assurance Tools And Techniques
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Experience standing up automated hardware-in-the-loop testing infrastructure
• Functional knowledge of software development, verification, and validation requirements for DO-178 and MIL-HDBK-516C
• Experience developing testable requirements and understanding of DO-178 and MIL-HDBK-516C verification objectives

Vast is looking for a Integration Engineer, Fluid Systems Test, reporting to the Sr. Manager, Integration Test, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities

• Own design, build, and commissioning of fluid system GSE and test stands.
• Develop clear and robust test plans for on-vehicle checkouts, fluids, instrumentation, and high-pressure testing.
• Act as test director, providing status updates and leading handoff meetings.
• Conduct PDRs, CDRs, and TRRs before design and test execution.
• Produce professional documentation including mechanical, fluid, and instrumentation schematics.
• Document non-conformances and collaborate with quality team on root cause corrective actions.
• Adhere to, enforce, and improve test processes and best practices.
• Collaborate with distributed engineering organizations to define test plans, requirements, and schedules.
• Partner with engineers, SMEs, and technicians to solve complex fluid system problems.
• Mentor engineers and technicians on the team.

Minimum Qualifications

• Bachelor's degree in mechanical, manufacturing, aerospace, electrical, or similar field.
• 4+ years of related engineering experience.
• Hands on hardware integration and testing experience.
• Experience with working with technicians and running multi person operations.
• Experience writing test plans, procedures, presentations, and providing go/no-go judgment and rationale.

Preferred Skills & Experience

• Experience with pressure testing, fluid system design, proof and leak checks in compliance with ASME B31.3.
• Experience planning and executing engineering operations in time-sensitive, high-risk environments.
• Knowledge of pressure safety standards (D.O.O, ASME, API, NFPA) for quantity distance and keep-out zones.
• Experience with high-pressure gas systems and closed-loop control systems.
• Ability to design and perform environmental testing per SMC-S-016, GEVS NASA-STD-7000a, MIL STD 810G.
• Experience designing and implementing instrumentation systems and precision measurement devices.
• Experience with DAQ hardware and software (NI PXI, cRIO, cDAQ, Dewesoft, Beckhoff).
• Ability to generate test system P&IDs using Visio, Lucidchart, or equivalent.
• Experience writing and executing test plans/procedures in collaboration with design engineers.
• Perform structured root cause analysis of test failures.
• Experience in structural design and analysis of test fixtures.
• Proficiency with CAD systems (NX preferred).
• Experience with PLM systems (Teamcenter preferred) and version control (SVN, GIT).
• Experience with project scheduling tools (Smartsheet, MS Project, or equivalent).
• Experience with JIRA and/or Confluence.
• Ability to quickly troubleshoot new and existing systems.
• Ability to rapidly shift priorities across multiple projects and deliver high-value results iteratively.
• Strong collaboration skills across cross-functional engineering teams.

Additional Requirements:

• Ability to travel for vehicle test support (20%) including extended travel (up to 1 month) for final vehicle test.
• Ability to work varying hours, shifts, extended hours, and weekends as needed.
• Ability to stoop, bend, crawl, and maneuver in tight spaces; physically able to lift up to 25 lbs unassisted.
• Ability to perform in a fast-paced, rapidly changing work environment.

Pay Range: 

• Integration Engineer II: $112,340 - $159,468
• Senior Integration Engineer: $$137,760 - $195,552
• Staff Integration Engineer: $162,360 - $230,472

Vast is looking for a Integration Engineer, Avionics Test, reporting to the Sr. Manager, Integration, to support the development of the systems required for the  build and test of artificial-gravity human-rated space stations.

This will be a full-time, exempt position in our Long Beach location. 

As a Integration Test Engineer, you will develop creative solutions to complex assembly and production problems. You will play a critical role in our development and production teams for identifying and defining test processes and plans and then executing. Your input will be vital in transitioning the space station from design to a built and tested station ready to host humans in space.

Responsibilities: 

• Plan, schedule, prepare, coordinate, direct, and exercise functional authority for completion of tests.
• Enable day-to-day execution of the vehicle integration and test flow.
• Collaborate with the distributed engineering organizations to define and manage test plans, requirements, and schedules.
• Ensure integration procedures are continuously evolving to reflect the most efficient assembly practices.
• Develop, qualify, and refine manufacturing processes to meet all requirements including safety, quality, efficiency, and delivery.
• Collaborate with other engineers, subject matter experts, and technicians to solve complex production issues.
• Act as test director and provide status updates and run handoff and other tagups.
• Document and provide resolution to non-conformances and collaborate with the quality team to implement root cause corrective actions.

Minimum Qualifications:

• Bachelor's degree in mechanical, manufacturing, aerospace, electrical, or similar field.
• Hands on hardware integration and testing experience.
• Experience writing test plans, procedures, presentations, and providing go/no-go judgment and rationale.

Preferred Skills & Experience:

• Experience with the build, assembly, integration, or test of complex assemblies and systems.
• Familiarity with Linux and Python environments.
• Ability to make independent judgments with limited information.
• Experience writing test plans, procedures, and providing go/no-go judgment and rationale.
• Experience planning and executing vehicle level system verifications, leak checks, or environmental tests.
• Comfortable working in a high-stress environment balancing several projects at any given time, and the flexibility to adjust for abrupt changes in strategic direction.

Additional Requirements:

• Ability to travel up to 20% of the time.
• Willingness to work evenings and/or weekends to support critical mission milestones.
• Ability to lift up to 25 lbs unassisted.

Pay Range: 

• Integration Engineer II: $112,340 - $159,468
• Senior Integration Engineer: $137,760 - $195,552
• Staff Integration Engineer: $162,360 - $230,472

The Electrical QCx Engineer is responsible for supporting commissioning, qualification, and startup activities for electrical systems within a semiconductor manufacturing facility. This role ensures systems are installed, tested, and validated in accordance with design documents, specifications, and operational requirements.

Working closely with engineering, construction, and operations teams, the QCx Engineer provides technical oversight from design review through system turnover, supporting all phases of the project lifecycle including construction, startup, and final acceptance.

Responsibilities:

• Supports design and Issued for Construction (IFC) drawing reviews to ensure constructability and compliance with project requirements
• Validates Sequence of Operations (SOO) and provides over-the-shoulder (OTS) support during system implementation
• Performs construction field walks and audits to verify installation quality aligns with drawings, specifications, and testing documentation
• Develops and supports Workarounds (WA) and Equipment Early Run (EER) strategies to enable safe and efficient startup
• Supports system startup, Functional Acceptance Testing (FAT), and qualification activities in coordination with engineering teams
• Provides engineering support for system matching and qualification work processes (WP)
• Leads and supports Owner Acceptance / Blue Tag (OA/BT) processes for electrical equipment and systems
• Assists in the development and execution of Shut-down / Tie-in Matrices (SDTM)
• Supports shakedown planning and execution to ensure system readiness and operational stability
• Collaborates with cross-functional teams including construction, QA/QC, commissioning, and operations to resolve technical issues
• Ensures all activities are executed in compliance with site safety standards and project requirements
• Any other duties or responsibilities that may be assigned to you in your role. 

Skills Required:

• Minimum 5+ years of experience working with electrical systems in mission critical industries, preferable to have prior semiconductor experience
• Strong understanding of electrical system installation, testing, and commissioning processes
• Ability to interpret construction drawings, specifications, and sequences of operations
• Experience supporting startup, commissioning, and system turnover activities
• Strong communication and coordination skills in a cross-functional team environment

Education / Licenses / Certifications

• Bachelor’s degree in Electrical Engineering or related field required (equivalent field experience considered)
• Proof of education, licenses, and certifications will be required where applicable. 

Benefits:

• Medical, Dental and Vision Insurance 
• Life, Short-Term, Long-Term Disability Insurance 
• Training and Education Assistance 
• 401k Retirement Plan 
• Extra Annual Leave with Years of Service 
• Maternity/Paternity Leave 
• Recognition Rewards
  
  

Vast is looking for a Manufacturing Engineer – Factory Systems & Rate Production, reporting to the Director of Operational Excellence, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. Use this space to describe the role and sell the candidate on the cool stuff they would get to work on. 

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Own Haven-2 factory layout and production system architecture, including maintain authoritative, up-to-date floor plans and work center configurations, and lead future-state factory design to meet rate production requirements as the program scales
• Lead DFM/DFA reviews and manufacturing readiness activities from development through production, partnering directly with design engineering to optimize producibility, assembly efficiency, and transition readiness and representing Manufacturing Engineering in design reviews (PDR, CDR), manufacturing readiness reviews (MRR), and production readiness reviews (PRR)
• Define, implement, and own key performance metrics across all Haven-2 work centers including throughput, cycle time, first-pass yield, and capacity utilization and design the data infrastructure and reporting systems required to monitor, analyze, and act on production performance
• Lead structured continuous improvement programs using Lean, Six Sigma, and value stream design methodologies, conducting time and motion studies (MOST, Yamazumi), identifying bottlenecks, and implementing standardized, scalable solutions that measurably improve throughput and reduce cycle time
• Develop and maintain the full suite of manufacturing documentation, including process plans, routings, standard work, and work instructions ensuring consistency, repeatability, and compliance with AS9100 and applicable aerospace workmanship standards
• Specify, qualify, and deploy tooling, fixtures, and production equipment, including coordinating custom tooling design to enable efficient, repeatable assembly of complex space hardware
• Drive process standardization across products, assemblies, and work centers, reducing variability and building the operational foundation necessary for sustainable rate scaling
• Lead process qualification and manufacturing readiness activities, including first article inspections (FAI), process validation, and AS9100 certification efforts acting as the primary manufacturing engineering project management resource for these initiatives
• Facilitate regular production performance reviews with manufacturing, quality, and supply chain leadership presenting data-driven analysis of throughput, efficiency, and rate performance, and leading corrective action on identified gaps
• Act as a hands-on systems-level problem solver on the manufacturing floor, bringing structured analytical rigor and practical engineering judgment to complex operational challenges
• Proven expertise in Lean manufacturing and Six Sigma methodologies, with demonstrated results in throughput improvement, cycle time reduction, and process standardization
• Experience conducting time and motion analysis (MOST, Yamazumi, or equivalent) to establish standard work and quantify improvement opportunities
• Hands-on experience developing and maintaining manufacturing documentation (process plans, routings, work instructions) in compliance with AS9100 or equivalent quality management systems
• Strong data and analytics skills demonstrated ability to design manufacturing performance metrics, build dashboards, and drive decisions from production data using tools such as Tableau, Power BI, or SQL
• Strong cross-functional communication skills, with experience presenting manufacturing performance, risks, and strategies to engineering and operations leadership
• Proven project management capability across concurrent manufacturing initiatives with multiple stakeholders

Preferred Qualifications:

• Lean or Six Sigma certification (Green Belt or Black Belt) with quantified project results
• Direct experience with AS9100 certification, audits, or quality management system implementation in an aerospace or defense manufacturing environment
• Experience leading manufacturing readiness reviews (MRR), production readiness reviews (PRR), or first article inspections (FAI) for flight or high-reliability hardware programs
• Familiarity with Manufacturing Execution Systems (MES) or ERP/MRP platforms (e.g., SAP, Oracle, Aligni) and experience leveraging them to improve production traceability and efficiency
• Proficiency with CAD or facility planning tools (AutoCAD, SolidWorks, or equivalent) for factory layout and work center design
• Experience scaling production from low-rate initial production (LRIP) to high-rate production for complex aerospace or space hardware
• Familiarity with PFMEA, process validation, and quality planning methodologies applied to aerospace hardware manufacturing
• Advanced skills in manufacturing data visualization and analytics, including experience building integrated reporting systems from multiple production data sources

Pay Range: 

• Manufacturing Engineer II: $112,000 - $159,000
• Senior Manufacturing Engineer: $137,700 - $195,000
• Staff Manufacturing Engineer: $162,00 - $230,000

Vast has multiple Structures Manufacturing Engineer openings, reporting to the Manager of Structures Fabrication, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Responsible for the build and inspection process for the assembly of the primary structure
• Develop and refine manufacturing processes, including: welding, trimming, shearing, rolling, bending, and more to meet all design and business requirements including safety, quality, efficiency and delivery
• Document and standardize welding and other processes and own the creation and modification of manufacturing planning/work instructions
• Collaborate with other engineers, subject matter experts, and technicians to solve large-scale production challenges
• Work with design engineers to evaluate designs for manufacturability and implementation in a rapidly evolving production environment
• Resolve product non-conformances and collaborate with the quality team to implement root cause corrective actions
• Help manufacturing and engineering teams to identify, plan, and execute capital equipment, machine, and layout upgrades to meet volume production demand
• Develop and refine floor layouts, capacity models, and product flow analysis to ensure on-time vehicle delivery to manifest

Minimum Qualifications:

• Bachelor’s Degree in Engineering or Comparable STEM field
• One of the following:
• Extensive experience collaborating with stakeholders to implement new manufacturing processes, products, or tools, (especially involving metallic assemblies), OR
• Extensive experience collaborating with stakeholders to revise and improve existing manufacturing processes, products, or tools,(especially involving metallic assemblies)
• One of the following:
• Extensive manufacturing experience managing a product/product line across multiple work centers and/or departments, OR
• Extensive manufacturing experience managing multiple products/product lines within a single work center/department
• Experience collaborating with stakeholders to address manufacturing non-conformances and implement corrective actions
• Experience in a fast-paced development environment, especially development-to-production transitions for new products/projects

Preferred Skills & Experience:

• Experience with large-scale metal forming and/or welding processes (~Ø20 ft. assemblies)
• Experience with automated or semi-automated metal forming and/or welding processes
• Knowledge of manufacturing techniques, processes, and equipment related to welding and metal forming/rolling
• Experience transitioning complex products from R&D to production in a fast-paced environment
• Experience in a production environment within the aerospace industry

Additional Requirements:

• Ability to lift up to 25lbs unassisted
• Willingness to work overtime, or weekends to support critical mission milestones

Pay Ranges:

• Manufacturing Engineer I: $86,100 - $122,220
• Manufacturing Engineer II: $112,340 - $159,468
• Senior Manufacturing Engineer: $137,760 - $195,552
• Staff Manufacturing Engineer: $162,360 - $230,472

Vast has multiple Tooling Engineer openings, reporting to the Senior Manager, Tooling, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Own the design, activation, and implementation, and support fabrication, of fixtures and tooling required for Haven-1 assembly, lifting, and handling.
• Work with Integration and Manufacturing to define vehicle integration flow, manufacturing process, concepts and tooling interfaces.
• Collaborate with vehicle engineering and production to define fixture and tooling specifications, qualification plans, and introduce to production.
• Perform mechanical analysis for spacecraft fixtures.
• Develop operation and maintenance plans for all test fixtures and tooling. Assist the facilities manager(s) in all aspects of project implementation as needed
• Manage schedule on assigned projects including critical next steps, deadlines, and outcome.
• Manage vendor relationships and coordinate meetings to identify new technologies and how they can be applied to Vast’s cutting edge applications.
• Develop, test, and implement tool improvements to yield time savings or tolerance improvements.
• Coordinate tooling modifications related to part, production, or other changes.
• Work closely with engineering stakeholders and technicians to solve production-related issues. 

Minimum Qualifications:

• Bachelor of Science degree in Mechanical Engineering, or other engineering discipline.
• Experience with GD&T.
• 5+ years of experience in aerospace or automotive tooling.
• 5+ years of experience in NX or other 3D CAD packages.
• Hands-on experience with handling, lifting, or building large, complex assemblies.
• Knowledge of project planning and execution practices, including logic-linked schedule management.

Preferred Skills & Experience:

• Experience with work orders and assembly instructions.
• Design of pneumatic, electrical, or hydraulic motion systems.
• Critical lifting and break overs fixtures.
• Integration tooling design.
• A passion for hardware development, including working in a fast-paced environment and hands-on design and development.
• Strong communication skills.

Additional Requirements:

• Willingness to work evenings and/or weekends to support critical mission milestones
• Ability to lift up to 25 lbs unassisted

Pay Range: 

• Tooling Engineer II $112,340 - $159,468
• Senior Tooling Engineer $137,760 - $195,552
• Staff Tooling Engineer $162,360 - $230,472

Vast is seeking an Industrial Engineer to lead a foundational role in driving operational excellence across our manufacturing facilities. Reporting to the Director of Operational Excellence, this position will focus on defining key performance metrics, optimizing production processes, and providing leadership with actionable data to improve throughput, efficiency, and accountability.

The ideal candidate thrives in a fast-paced, hands-on environment, collaborates effectively across functions, and balances tactical execution with strategic process improvement.

This is a full-time, exempt position based in Long Beach, California.

Responsibilities:

• Define key performance metrics for each work center and design data systems to track and measure them effectively.
• Identify process bottlenecks and lead continuous improvement initiatives in partnership with manufacturing leaders and engineers.
• Conduct time and motion studies to establish process baselines and uncover efficiency opportunities.
• Maintain and update production floor plans, serving as the primary authority on floor space allocation and work center layouts.
• Provide actionable data and insights to hold teams and leaders accountable for delivery performance and operational goals.
• Act as a project management resource for manufacturing initiatives such as process qualifications, AS9100 certification, and general work center readiness.
• Facilitate regular (e.g., bi-weekly) production efficiency and schedule/rate review meetings with supply chain, quality, and manufacturing leadership to assess performance and drive corrective action.
• Support ad-hoc projects and operational challenges, providing flexible, hands-on problem-solving for the manufacturing organization.

Minimum Qualifications:

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or a related field.
• 3+ years of experience in a manufacturing or operations-focused industrial engineering role.
• Strong analytical skills with demonstrated experience in data collection, analysis, and reporting.
• Proven ability to lead process improvement initiatives, including bottleneck analysis and workflow optimization.
• Excellent project management skills with the ability to manage multiple priorities simultaneously.
• Strong interpersonal and communication skills with a track record of effective cross-functional collaboration.
• Knowledge of Lean Manufacturing and Six Sigma principles, with experience leading implementation.
• Experience using business analytics tools (e.g., Tableau, Power BI, SQL) and integrating data from multiple sources to support decision-making.

Preferred Skills & Experience:

• Lean or Six Sigma certification (Green Belt or higher preferred).
• Familiarity with AS9100 or other quality management systems.
• Experience maintaining and optimizing manufacturing floor plans and layouts.
• Proven ability to facilitate cross-functional meetings to drive operational performance and accountability.
• Prior experience supporting certifications, process qualifications, or other manufacturing readiness initiatives.
• Advanced proficiency in business analytics and data visualization, including integration of manufacturing and supply chain data systems.
• Experience utilizing time and motion analysis techniques, such as MOST.

Pay Range:

Senior Industrial Engineer: $104,960  - $148,992
Staff Industrial Engineer: $127,920 - $181,584
Principal Industrial Engineer: $170,560 - $242,112