About Us
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
The Role
As an Infrastructure Engineer at Relace, you’ll design and operate the systems that power our high-performance inference and training infrastructure. You’ll work closely with our research and product teams to ensure our models run at scale with reliability, speed, and cost-efficiency. This is a hands-on engineering role where you’ll shape how we build and scale the backbone of modern code generation.
You’ll have the opportunity to:
- Architect and manage the infrastructure powering our ultra-fast inference and training stack.
- Build reliable, efficient systems for deploying and scaling ML workloads globally.
- Work on GPU scheduling, distributed systems, and high-performance cloud deployments.
- Optimize performance and cost across compute, networking, and storage layers.
- Collaborate with world-class engineers to push the limits of what small models can do.
Requirements
2+ years of experience writing high-quality production code
Strong experience with cloud infrastructure (AWS, GCP, Azure, or equivalent)
Experience with data science and systems optimization
Familiarity with ML infrastructure, GPU’s, etc. a plus
Work out of our SF office in FiDi
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Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
We’re looking for a Head of Growth who can move fast, experiment relentlessly, and turn great ideas into measurable traction. You’ll be in the trenches, shipping campaigns, testing new channels, building loops, and driving real user adoption.
As our first dedicated growth leader, you’ll own our playbook across social, product, community, and performance marketing. You should be as comfortable writing a launch tweet or spinning up a landing page as you are evaluating funnel metrics and iterating on experiments.
You’ll work closely with our founders, engineering, and product teams to bring Relace to the broader developer and builder ecosystem.
You’ll:
Run fast, creative campaigns across X (Twitter), LinkedIn, Discord, and other channels to build awareness and convert technical audiences.
Design, launch, and iterate growth loops that turn attention into active users and advocates.
Identify new distribution channels, partnerships, and viral opportunities before they’re obvious.
Own our growth stack — from analytics to landing pages to automation.
Build a culture of experimentation: rapid iteration, smart measurement, and learning fast.
Collaborate directly with engineering and research to translate technical breakthroughs into accessible, compelling narratives.
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
We’re looking for a Developer Relations Advocate who can translate cutting-edge infrastructure and model work into stories, tutorials, and conversations that inspire developers. This person will serve as the connective tissue between our technical team and the broader builder ecosystem — not just promoting Relace, but helping shape how developers understand and use the technology.
The ideal candidate loves writing, is fluent in technical communication, and has a deep curiosity about how systems work. They’re comfortable publishing blog posts that dig into new model capabilities, producing hands-on demos, and building trust with developers through clarity and rigor.
This role blends technical depth, community presence, and storytelling. It’s perfect for someone who enjoys explaining complex ideas simply and precisely — and who thrives in fast-moving, technical environments.
Strong track record of technical writing — blog posts, research explainers, or educational content.
Comfort with code and an ability to communicate complex systems clearly and accurately.
Familiarity with developer communities and a strong sense for how technical narratives spread.
Excitement to work with cutting-edge models and infrastructure.
Willingness to work in-person from our SF office in FiDi.
About Us
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
We’re looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our models for retrieval, application, and code generation.
The ideal candidate has a strong background in ML research and engineering, is comfortable working with both theory and production systems, and thrives in an environment where ideas turn into deployed infrastructure fast. This person should be excited to work on training methodology, optimization, evaluation, and model architecture at scale — and collaborate directly with infrastructure and product teams to get breakthroughs into production quickly.
This role is best suited for someone who loves both mathematical elegance and real-world impact.
Strong background in machine learning, deep learning, or related fields.
2+ years of experience working on ML research or production systems.
Fluency in Python and frameworks like PyTorch or JAX.
Experience with training and optimizing large or efficient models.
Strong understanding of applied optimization, distributed training, or model evaluation.
Familiarity with code models, retrieval systems, or language modeling a plus.
Advanced degree (MS or PhD) in a quantitative field, or equivalent industry experience.
Willingness to work in-person from our SF office in FiDi.
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
We’re looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design.
The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable optimizing compute and networking paths as they are working alongside research teams to productionize new architectures.
This is a role for someone who enjoys deep performance tuning, understands the realities of running large-scale ML systems, and thrives in fast-moving, high-leverage environments.
Strong background in systems-level ML engineering.
Experience with CUDA, GPU kernel optimization, and performance tuning.
Fluency in Python and at least one systems language (C++ or Rust preferred).
Familiarity with distributed training frameworks (e.g., PyTorch, JAX, DeepSpeed, or similar).
Experience working with large-scale training or inference infrastructure.
Understanding of memory management, parallelization, and hardware-aware model optimization.
2+ years of experience working in ML infrastructure or performance-critical environments.
Willingness to work in-person from our SF office in FiDi.
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
We’re looking for a Product Engineer (Frontend) who loves building polished, fast, and intuitive interfaces. This person will work at the edge of product and engineering, helping shape how developers interact with powerful models and infrastructure.
The ideal candidate enjoys shipping user-facing features quickly, iterating directly with users, and taking products from zero to one. They should have a strong sense of design quality, understand how to make complex systems feel simple, and be comfortable building full-featured frontends that scale.
This role is a good fit for someone who thrives in high-velocity environments, has a taste for good UI, and wants to own large parts of the product experience end-to-end.
2+ years of experience building and shipping user-facing web products.
Fluency in modern frontend frameworks (React, Next.js, or similar).
Strong design instincts and ability to create elegant interfaces for complex technical products.
Experience working closely with backend and infrastructure teams.
Comfort with rapid prototyping, iteration, and working close to users.
Familiarity with developer tools or technical audiences a plus.
Willingness to work in-person from our SF office in FiDi.