СШАSenior FE Engineer - Inference Console
4 нед. назад
СШАSeniorHybrid
next.jstypescriptgraphqlpostgresredis
Senior Frontend Engineer to own and scale critical parts of the Developer Console, building frontend systems and designing backend services.
Условия
- People who are serious about software make their own hardware. At , we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined :
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
- Find out more about what it's like to work at here !
- Apply today and become part of the forefront of groundbreaking advancements in AI!
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Другое
- Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
- About The Role
- We’re hiring a Senior Frontend Engineer to own and scale critical parts of the Developer Console — the primary interface developers and enterprises use to run and manage inference workloads.
- This is a deeply technical, end-to-end role. You’ll build high-quality frontend systems (Next.js, TypeScript) and design backend services (GraphQL, Postgres, Redis) that power usage tracking, billing, quotas, and observability. The systems you build will operate at high scale, require careful data modeling, and balance real-time and batch processing. You’ll be expected to make strong architectural decisions and move quickly from idea to production.
- You’ll join an existing, high-velocity team and take ownership of major platform areas such as billing, request logs, and metrics. This is not a “ticket execution” role — you’ll define problems, drive technical direction, and lead execution across the stack. The work directly impacts customer experience and revenue, and the expectations are correspondingly high.
- As a Senior Engineer, you’ll set the bar for engineering quality and execution. You’ll mentor engineers, drive design reviews, and push the team toward simple, scalable solutions. We’re looking for someone who thrives in fast-moving environments, operates with urgency, and is comfortable navigating ambiguity while shipping high-quality systems.
- What You’ll Do
- Own a major area of the platform — take end-to-end responsibility for systems such as billing, usage tracking, quotas, request logs, or metrics.
- Build and evolve core systems — design and implement APIs, services, and UI that power the Developer Console and scale with growing customer usage.
- Make architectural decisions — define system boundaries, data models, and tradeoffs across real-time vs batch processing, performance, and cost.
- Drive projects from 0 → 1 → scale — take ambiguous problems, define solutions, and deliver them to production.
- Lead technical execution — break down work, align engineers, and ensure high-quality delivery across the stack.
- Improve system reliability and visibility — ensure systems are observable, debuggable, and production-ready.
- Partner with product and design — shape developer-facing workflows and experiences.
- What We’re Looking For
- Track record of ownership — you’ve led and delivered complex systems end-to-end, not just contributed components.
- Technical depth in backend systems — strong fundamentals in APIs, data modeling, and distributed systems; experience with high-scale or real-time systems is a plus.
- Full-stack capability — comfortable working across frontend and backend, with the ability to make pragmatic tradeoffs.
- Strong technical judgment — you make sound architectural decisions and know when to optimize vs move fast.
- Ability to operate without structure — you bring clarity to ambiguous problems and drive execution independently.
- High standards for quality — you care about correctness, maintainability, and long-term system health.
- Influence and mentorship — you elevate the team through design reviews, guidance, and leading by example.
- Bias for action — you move quickly, unblock yourself and others, and focus on impact.
- Experience in fast-moving environments — comfortable with shifting priorities and evolving scope.
- Experience — typically 8+ years of industry experience building and operating production systems.
- Education — Bachelor’s or master's in computer science (or equivalent practical experience).
- Why
- is redefining the speed and scale of AI inference. The systems we build power real-world production workloads, not demos.
- Work on systems that matter — you’ll build core platform infrastructure that directly impacts how customers run and scale AI workloads in production.
- Own meaningful surface area — this is not a narrow role. You’ll take ownership of critical systems (billing, usage, observability) that sit at the heart of the platform.
- Operate at the intersection of product and infrastructure — the work spans developer experience, distributed systems, and real-time data, requiring both strong engineering and product thinking.
- High impact, low bureaucracy — you’ll work in a small, high-performing team where decisions are made quickly and engineers have real influence on direction.
- Grow with the platform — as we expand from cloud offerings into broader infrastructure and cluster management, the scope and technical challenges will continue to grow.