Rust Jobs

NVIDIA DGX Cloud is seeking a Senior Software Engineer to join the Bare Metal Infrastructure team. This role focuses on building and maintaining the software that transforms new hardware into reliable, production-ready GPU capacity for demanding AI workloads. The ideal candidate will have deep systems engineering expertise, understanding the intricacies of servers, firmware, BMCs, and networks. You will be involved in the entire bare-metal lifecycle, from new platform introduction and firmware qualification to automated provisioning, validation, and remediation. The team heavily utilizes AI agents and LLM tools in its development process, and we are looking for someone eager to expand these capabilities.

$152k - $288k

Baseten is seeking a Software Engineer to join the Agent Infra team, focusing on building and enhancing Agent Drive, a distributed filesystem critical for agent sandboxes. This role involves developing a storage solution that supports thousands of concurrent sandbox mounts with strict data isolation and consistency. The work leverages advanced storage techniques like tiered caching, replication, and content-addressed data, with a focus on Linux filesystem internals. The team operates with a high degree of ownership, shipping features rapidly and contributing to the core infrastructure that powers leading AI companies.

$160k - $330k

NVIDIA is seeking a Senior Software Engineer to focus on AI Inference Performance, advancing innovative LLM and VLM inference on NVIDIA GPU-accelerated systems. This hands-on role involves pushing workloads to practical performance limits, delivering measurable gains in latency, throughput, efficiency, and scale. You will translate performance models and profiler data into working code, collaborating with various teams and contributing improvements to open-source inference engines. Your work will directly impact production deployments and help shape future NVIDIA platforms.

$184k - $357k

Baseten powers mission-critical inference for leading AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling. We enable companies at the frontier of AI to bring cutting-edge models into production. The Agent Infra team builds a custom networking stack for our sandboxes, designed for the scale of numerous isolated machines that constantly suspend, resume, and exchange data. This role focuses on building a user-space networking stack using VPP, enabling multi-tenant virtual private networking for agents and services.

$160k - $330k

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are building the platform engineers use to ship AI products, recently securing $1.5B in Series F funding. The Agent Infra team is responsible for the core virtualization layer that powers our agent sandboxes. This layer provides each agent with its own isolated microVM, capable of running code, calling tools, and maintaining state across long tasks. We are building a cloud infrastructure from the ground up, focusing on multi-tenancy and deep hardware integration.

$165k - $330k

The SambaStack team is seeking an Engineering Director to lead a software engineering team while remaining a hands-on technical contributor. You will own the growth and effectiveness of your team, the technical quality of their output, and the roadmap for the inference serving platform. You will continue to design systems and write code on the platform's hardest problems, contributing directly as a software engineer on critical platform initiatives.

$245k - $325k

Lovable is seeking an exceptional Forward Deployed Engineering Lead to help build the future of AI-powered software creation. This role involves building and leading an outstanding Forward Deployed Engineering (FDE) team, while collaborating with other FDE leaders to define the function's global operations. You will remain deeply hands-on, working directly with ambitious customers, writing production code, and contributing to projects alongside your team. Lovable is a software creation platform empowering individuals and businesses to bring ideas to life, having facilitated over 60 million projects since its launch. The company is a fast-growing, generational AI company with a culture of extreme ownership, high velocity, and low-ego collaboration.

$241k - $391k

Inworld is a research lab and inference provider focused on real-time AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, real-time workloads. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more, serving over 10 trillion LLM tokens per month. We are looking for strong individuals from varied backgrounds who learn fast, thrive in ambiguity, and can demonstrate their experience in building, breaking, and understanding complex systems.

$250k - $300k

Baseten is seeking a Backend/Distributed Systems Engineer to join their Product Platform team. This role is central to Baseten's mission of powering mission-critical AI inference for leading AI companies. You will work on key areas such as commercialization, billing, partnerships, developer productivity, agentic development, and the observability platform. The position offers the opportunity to design and build scalable systems, own core platforms, and contribute to the company's growth at the forefront of AI development.

$165k - $330k

Scale AI

Scale AI is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering Reinforcement Learning (RL) environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and verifier frameworks, while also diving deep into instrumenting real applications, designing task suites, and building robust graders. This is a hands-on engineering position requiring technical leadership across multiple teams and the ability to write complex code.

$252k - $315k

Supabase is seeking a Software Engineer to join their Turso core database team. This role focuses on advancing the future of agentic databases, specifically by contributing to the Turso Open Source database and its Cloud offering. You will work on enhancing Postgres compatibility, ensuring system reliability, maintaining cloud operations, and improving scalability to support a massive increase in database usage. The ideal candidate thrives in a fast-paced, asynchronous environment and is passionate about building scalable database technologies for a world with millions of daily agent-created databases.

We are seeking an experienced Staff Forward Deployed Engineer to join our team and help build the future of AI-powered software creation. This is a hands-on software engineering role where you will design, write, and ship production code, working directly with customers to translate ambitious ideas into real products. You will be a founding member of our Forward Deployed Engineering (FDE) function, helping to define its engineering standards, ways of working, and collaboration with product teams. This is a unique opportunity to scale a new discipline from scratch, solve novel AI problems, and shape a product and team while remaining deeply hands-on.

$199k - $325k

We are seeking a Senior Software Engineer to contribute to the development of core libraries, evaluation systems, and reusable harness capabilities for AI agents. This role involves hands-on work with open-source agent harnesses, sandboxed execution, model-provider infrastructure, and agent benchmarks to enhance the next generation of agents. You will analyze agent evaluation data to drive improvements, diagnose failures, contribute to upstream projects, and demonstrate gains in quality, reliability, cost, and latency across various models. Join our team to build foundational technology for future autonomous software systems.

$184k - $357k

Anthropic

Reinforcement learning is crucial for training AI models like Claude to reason, write code, and act autonomously. At scale, RL training involves complex distributed systems running across numerous accelerators and hosts. As an engineer in RL Engineering, you will be responsible for securing this expanding system. This is a hands-on role where you will work directly within the RL codebase and its underlying infrastructure, collaborating with the engineers and researchers who develop and utilize it. The system's rapid evolution, driven by research advancements, requires security solutions that maintain pace without compromising performance or development velocity. We are seeking candidates with expertise in either security engineering for large-scale ML systems or ML systems/research engineering with a strong interest in security.

$320k - $405k

Anthropic

The Interpretability team at Anthropic is dedicated to understanding how modern language models work, believing that a deep, mechanistic understanding is crucial for making advanced AI systems safe and steerable. This role involves building and maintaining the specialized infrastructure that powers interpretability research, akin to performing 'neuroscience' on neural networks. The work spans the entire lifecycle of a production language model, from pretraining and inference to performance optimization, and directly contributes to safety audits on frontier models.

$315k - $560k

Anthropic

Anthropic is seeking a Staff+ Software Engineer to enhance the vector search infrastructure powering Claude. This role is crucial for Claude's ability to access information, impacting web search, conversation memory, and model training. You will join a small, foundational team responsible for the architecture, performance, scalability, and cost of the vector database layer. As a hands-on engineer, you will contribute to coding and make key architectural decisions, shaping the future evolution of this critical system within the Databases organization.

$320k - $485k

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and integrated systems to power frontier models. This role focuses on defining and building the CI/CD systems essential for qualifying these advanced models and the software stack that runs on OpenAI's custom AI accelerators. The work ensures that correctness, performance, and stability are measurable for every code change, from initial commits to production releases. This position involves model workloads, accelerator software, systems infrastructure, and enhancing developer productivity by establishing scalable CI/CD and GitOps practices, designing robust regression and benchmarking pipelines, and collaborating with various engineering teams to optimize feedback loops.

$318k - $485k

Together AI

We are seeking a software engineer to develop a Kubernetes-native control plane for provisioning and managing our GPU inference fleet. This role involves designing a manifest-driven API that allows the inference team to declare their needs, such as clusters, model deployments, or capacity adjustments. Our controllers will handle the underlying reconciliation, provider/runtime selection, and lifecycle management, abstracting away the complexities of the serving stack, scheduler, or hardware pool. You will also build systems to ensure fleet efficiency, including defragmentation, rebalancing logic for consolidating workloads, and scheduling/bin-packing improvements to maximize GPU utilization without compromising latency. The core objective is to decouple platform users from operational complexities while optimizing hardware capacity. This includes developing controllers, reconciliation loops, and self-service interfaces (API/CLI) for seamless operation, alongside event-driven systems for health monitoring, remediation, and utilization management, all designed to operate without human intervention. A product-oriented mindset is crucial, with a focus on building internal platforms and APIs that enhance the developer experience for consuming engineering teams. This role operates under a "you build it, you own it" philosophy, encompassing both software delivery and production support.

$160k - $280k

Anthropic

Our Sandboxing team builds the isolation layer that enables Claude to run code, use computers, or act as an agent. These systems are critical for executing code written by Claude for users, training and evaluating models, and supporting customer-deployed agents. The sandboxes must start rapidly, withstand adversarial code, and scale to handle numerous concurrent sessions. This role involves working at the intersection of the Linux kernel, virtualization, and container technologies, collaborating with research, product, and security teams to ensure both safety and performance.

$320k - $485k

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k