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Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Build and operate a frontend-focused engineering platform for AI autonomy workflows. Responsibilities include designing composable UI architecture, typed and versioned APIs, application lifecycle workflows, AI-agent integrations, backend services, and consistent local and production environments. The role partners with simulation, autonomy, and ML experts while collaborating across infrastructure, security, product, and design. Engineers own production applications through design, implementation, deployment, and support.
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ElectronGoGrpcJson SchemaKubernetesModel Context ProtocolOpenapiProtocol BuffersPythonReactRustTypescriptVs Code ExtensionsWeb ComponentsWebglWebgpu
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads global and regional operational, IT general controls, application controls, and integrated audits. Responsibilities include audit planning, walkthroughs, controls testing, risk analysis, reporting, action tracking, stakeholder communication, and advising on business initiatives. The role also builds AI-enabled audit automations, uses data analytics and AI for population testing, contributes to audit methodology and ServiceNow IRM adoption, and supports Audit Committee reporting.
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Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architects and operates enterprise cryptographic services for a regulated, multi-tenant SaaS platform. Responsibilities include building FIPS-compliant key management, PKI, secrets, and workload identity systems; running Kubernetes services; threat modeling; evaluating AI/ML for security applications; collaborating on compliance requirements; mentoring engineers; and advancing post-quantum readiness.
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Build and maintain backend services and product features across the full software development lifecycle. Responsibilities include designing, implementing, testing, deploying, validating, and improving production software; investigating issues; enhancing performance and reliability; identifying technical debt; and collaborating with product, AI, and edge systems teams. The role requires ownership of features, thoughtful decision-making in ambiguous situations, code reviews, documentation, and use of AI-assisted development tools.
Instrumental builds the manufacturing acceleration platform behind the world's most complex electronics. We capture digital exhaust and engineering context from assembly lines — images, test logs, BOM data, performance, repair cycles — and our AI engines identify insights that are difficult or impossible for human engineers to find. We accelerate the companies building the AI era by improving manufacturing yield, throughput, and ramp. NVIDIA, Meta, L3Harris, and their manufacturing partners rely on Instrumental to accelerate new product introduction and production.
We're entering one of the most important periods in our company's history. Over the next year, we'll be rebuilding our platform layer for a scale it wasn't originally built for — and the engineer who joins now will shape that architecture as much as anyone.
Instrumental is hiring a Backend Engineer to build the services and features behind our product. You’ll join a product team alongside experienced engineers and ship backend work that customers rely on every day. This is a product engineering role, not an infrastructure role.
We’re looking for someone with 1-2 years of professional experience who is comfortable with problems that aren’t fully defined, makes thoughtful decisions within their area while knowing when to pull in others, and contributes to how the team works through code reviews, documentation, and sharing what they learn. Early-career engineers at Instrumental get real ownership quickly, and they earn it by showing up responsibly and following through.
What You’ll Be Doing:
- Own the full software development lifecycle across design, implementation, testing, deployment, release and validation
- Build and improve the backend services behind our product, learning to balance shipping quickly with writing code that’s simple and easy to maintain
- Take responsibility for the quality of features in production by validating your work, investigating issues, and improving performance and reliability.
- Use AI-assisted development tools to move faster and share what works with the team
- Spot technical debt and tooling gaps in your area and bring well-reasoned proposals for what to tackle
- Work with engineers across teams to deliver features that support our product, AI, and edge systems
We’re Looking for :
- 1–2 years as a software engineer, ideally at a startup or on a small team where you shipped code that real users depended on
- You’ve owned a feature or component from start to finish, including scoping it, building it, getting it to production, and fixing it when it broke, even if someone more senior shaped the overall design
- Comfort working through problems that aren’t fully defined. You ask good questions, make reasonable calls when you don’t have every answer, and learn from how those calls turn out
- Solid working knowledge of Python or Go, plus a genuine interest in data modeling and system design and a desire to get much better at both
- You use AI-assisted development tools as part of your everyday workflow and are eager to share what’s working with your teammates
- Signs that you grow quickly, such as taking on more responsibility over time, picking up feedback fast, or being the person teammates came to for a particular area
We’re a growing team that works collaboratively, supports each other, and is energized by having an impact. We value passion and the ability to learn — you’re encouraged to apply even if your experience doesn’t match the job description precisely!
The following is a representative annual base salary range for this position within the Bay Area: $136,000-$177,000. In addition, job level and salary opportunities are evaluated during our interview process — we review each applicant's experience, knowledge, skills, and abilities.
Instrumental is proud to offer a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.
At Instrumental, protecting company and customer information is a shared responsibility. Employees are expected to comply with company engineering, security, access control, and privacy policies, and promptly report suspected security incidents or policy violations.
CompensationThe base pay range for this role is $136,000 – $177,000 per year.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
