USAFull Stack Engineer - Console Team
1 мес. назад
USASeniorOnsite
next.jstypescriptgraphqlpostgresredis
Build and maintain the Developer Console, including frontend and backend services for managing AI inference workloads.
Обязанности
- We’re hiring a full-stack engineer to build the 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. The work directly impacts customer experience and revenue, and the expectations are correspondingly high.
- 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
- 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.
- Partner with product and design — shape developer-facing workflows and experiences.
- What We’re Looking For
- 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.
- 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 1-3 years of industry experience building and operating production systems.
- Education — Bachelor’s or master's in computer science (or equivalent practical experience).
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!
- Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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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.