You'll partner with a small, senior Rust-first team to ship reliable graph capabilities and make them easy for other teams and agents to use. The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.

In this role, you'll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you'll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

Key responsibilities include:

• Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.

• Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.

• Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.

• Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.

• Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.

• Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.

• Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.

• Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.

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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

• We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

• We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

• We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

Cyngn is building a cloud platform that helps customers monitor, manage, and optimize fleets of autonomous industrial vehicles in real time. As a Full Stack Engineer (Mid–Senior), you’ll ship features end-to-end,from Python backend services to TypeScript/JavaScript frontends,on a small, high-impact team.

Responsibilities

• Build customer-facing web experiences: fleet dashboards, live views/maps, alerts, admin tools, and reporting using TypeScript/JavaScript.

• Build and evolve backend services in Python that power fleet operations, integrations, data ingestion, and analytics.

• Design and implement reliable APIs (REST and/or gRPC) that are well-documented and easy to integrate with customer systems.

• Deliver real-time features (live vehicle state, events, notifications, operator workflows) using WebSockets and event-driven patterns.

• Support “physical AI” workflows by connecting cloud software to autonomy/robotics systems,telemetry pipelines, command-and-control surfaces, and operational tooling that interacts with vehicles in the real world.

• Use modern AI tools and agents to move faster and raise quality (and help build customer-facing copilot experiences where it makes sense).

• Contribute to digital-twin simulation + validation loops (where applicable): support workflows that use simulation to test behaviors, validate releases, and reproduce field issues.

• Raise engineering quality through testing, code reviews, observability, and pragmatic reliability/performance improvements.

• Own meaningful chunks of the product: shape solutions, make tradeoffs, and drive work to completion.

Qualifications

• 2–4+ years of professional software engineering experience.

• Strong production experience with:

  • Python (backend services, APIs, data workflows)

  • TypeScript or JavaScript (frontend)

  • You’ve shipped and supported user-facing web applications (not just internal tools).

  • You’re comfortable building APIs and working with databases (SQL preferred; NoSQL is a plus).

  • You communicate clearly, take ownership, and bring a low-ego, collaborative approach.

  • You care about software that’s reliable in production, not just “works locally.”

Bonus Qualifications

• Real-time systems experience: WebSockets, SSE, streaming updates, pub/sub.

• Event-driven systems / messaging: Kafka, RabbitMQ, Pulsar, etc.

• Experience with telemetry-heavy or operational products: IoT, robotics, autonomy, fleet/dispatch, industrial software.

• Experience building analytics features: reporting, aggregations, operational metrics, customer-facing insights.

• Familiarity with scaling patterns: caching, background jobs, rate limiting, performance tuning.

• Strong habits using AI coding assistants/agents responsibly (verification, testing, high-signal reviews).

• Exposure to physical AI simulation tooling (e.g., NVIDIA Omniverse / Isaac Sim) or similar environments.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Remote or hybrid work opportunities

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees

• Monthly meal and tech allowances for remote employees

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Responsibilities:

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees,building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

Requirements:

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

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