Rust Jobs

This role focuses on establishing and implementing a comprehensive evaluation strategy for autonomous agents at NVIDIA. The goal is to ensure that changes to agents, their underlying models, harnesses, tools, and skills lead to improvements rather than regressions. You will design systems that allow agents to leverage evaluation results for self-improvement, building trust in the process of autonomous evolution. This involves creating robust evaluation frameworks, mining production data for insights, and developing realistic simulation environments for safe, end-to-end agent task execution.

$224k - $431k

d-Matrix is seeking a Senior Staff Inference Performance Engineer to join their Inference Cloud Engineering team. This role is responsible for the end-to-end performance of workloads deployed on d-Matrix's inference services, ensuring they perform at least as well as on bare metal. The engineer will diagnose and isolate performance issues across the full serving path, from orchestration to inference internals, and will be responsible for either fixing problems directly or handing them off to the appropriate owning team with clear evidence. The role involves assessing scalability, defining node requirements for optimal deployment, and building telemetry and benchmarks to support these efforts. The ideal candidate will mentor other engineers in a profiling-first methodology.

$175k - $265k

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate, execution-driven individuals ready to tackle challenges and shape the future of AI. The Inference Cloud Engineering team is responsible for the deployment and orchestration technology behind d-Matrix’s inference services, including an internal cloud for model testing and a customer-facing cloud with self-service inference endpoints. This role will own the end-to-end testing and release process for this critical software, ensuring features are proven, releases are predictable, and rollbacks are safe, even with scarce and shared hardware resources.

$155k - $235k

d-Matrix is seeking a Principal Test Automation Engineer to define and build AI-enabled automation across the software development lifecycle, from build and CI through testing and release. This role involves setting technical direction for AI-enabled workflow automation, building foundational components like agent harnesses and integrations, and developing evaluation methods to ensure automation effectiveness. You will work hands-on, shipping critical components and collaborating with other engineers to raise the bar for AI adoption in daily engineering tasks. The ideal candidate will have extensive production software engineering experience, strong Python skills, and experience shipping AI-enabled tools in production.

$195k - $285k

NVIDIA is seeking a Senior Manager, Software Engineering to lead the evolution of its DevOps, Build Engineering, and Infrastructure team. This role involves building and guiding a high-performing engineering team responsible for the development, testing, verification, and release of core software for NVIDIA's CUDA driver, runtime, and related libraries in C++, Python, and Rust. The position offers hands-on leadership, focusing on people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership, aiming to enhance the developer experience and platform for a global workforce.

$272k - $431k

Parloa is shaping the foundation of a new era in customer experience where customer support is no longer transactions, but meaningful exchanges. As Principal Software Engineer for Voice/VoIP, you will own the technical direction of our real-time voice infrastructure. This is a hands-on technical leadership role where you will set architectural direction, solve complex problems, and elevate the engineering organization's approach to voice systems. You will collaborate with infrastructure, AI/ML, and product teams to ensure our voice stack is fast, reliable, and globally scalable.

NVIDIA Cloud Functions is seeking a motivated AI/ML Engineer with expertise in AI platform engineering at scale. The team develops and manages a serverless deployment platform designed to enable and scale AI inferencing workloads. This platform utilizes globally distributed orchestration of workloads on Kubernetes clusters backed by GPUs, operating in a cloud-agnostic manner. The role involves working with a team of innovative engineers to deliver a top-tier product for both external clients and internal NVIDIA teams, contributing to the forefront of cloud engineering paradigms for AI at scale.

$152k - $288k

We are seeking a Staff Full Stack Engineer to lead the technical direction of the team responsible for Alpaca's Trading API product. This product serves developers, traders, and institutions, and the team owns the entire customer experience, from platform access and account security to the applications used for trading. The role involves working across the full stack, including customer-facing trading applications, identity and permission systems, and integrations for partner apps and AI agents. This is a high-trust domain where system defects can have significant consequences, so we are looking for an engineer with proven experience in building and owning critical systems like identity, authorization, account models, and financial applications. While you won't manage people directly, you will lead through architecture, code, design reviews, and mentorship, acting as the senior technical anchor for the team.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. In this role, you will develop the critical evaluation infrastructure that researchers rely on to understand model capabilities, inform training decisions, and assess readiness for release. Your work will encompass evaluation authoring, distributed execution, and results analysis, with a specific emphasis on pre-training. You will collaborate closely with researchers to enhance the speed, reliability, and ease of use of evaluations, ensuring that the outcomes accurately reflect the models being assessed.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€295k - €355k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€235k - €295k

NVIDIA is building a new kind of agentic engineering system to ensure the correctness, security, and reliability of software for safety-critical applications like autonomous vehicles and medical robots. This system aims to translate precise specifications into production-ready C/C++ and Rust software, continuously validating the results and providing evidence for readiness. The role involves leading a core team to develop this capability, combining AI agents, systems engineering, deterministic validation, security, and functional-safety practices into a production platform.

$272k - $431k

NVIDIA Research's Human Performance and Experience (HPX) team is seeking passionate individuals for a PhD Research Intern position focused on cross-disciplinary vision science between humans and machines. This role involves collaborating with research scientists, engineers, and product engineers to address real-world problems at the intersection of computer vision, human vision science, and robotic vision. The internship offers an opportunity to contribute to AI innovation and shape the future of human-AI interaction.

$0k - $0k

OpenAI

API Agents is building the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems capable of reliably completing real work. This role focuses on building the core systems behind the next generation of agents, designing reliable services and abstractions that help agents find context, use tools, retain knowledge, coordinate workflows, and take action safely. The position combines deep backend and infrastructure work with strong product judgment, offering opportunities to work across agent runtimes, orchestration, search, execution environments, identity, observability, and evaluations. Success in this role hinges on strong backend fundamentals, high agency, and the ability to translate fast-moving research into dependable production primitives.

$266k - $445k

SpaceXAI is building Super Intelligence to help humanity understand the universe. As a Product Engineer on the Grok Connectors team, you will build integrations that enable Grok, Cursor, and Grok Bot to perform real-world actions within commonly used tools such as Gmail, Outlook, Google Calendar, Microsoft Teams, GitHub, and Slack. You will be responsible for the end-to-end development of features, including OAuth sign-in, token management, tool schema design, ensuring reliability across millions of tool calls, and developing user interfaces for web, desktop, and mobile platforms. This role involves direct collaboration with enterprise customers and partners to deliver trustworthy connectors for large organizations.

Aleph Alpha is seeking exceptional Senior AI R&D Engineers to join our model training team. You will contribute to building and improving our foundation model pre- and post-training pipeline, which has been used to train Kolibri. This role involves working across the full stack, optimizing training schedules, enabling large-scale code execution for reinforcement learning, and enhancing evaluation codebases. You will have a direct influence on the development of our training pipeline and infrastructure, shaping how quickly we can experiment and improve our models. The position emphasizes identifying issues, taking initiative, and collaborating with team members on working modes, design decisions, and priorities.

Crusoe is building the operating system for AI datacenters, managing one of the world's largest GPU fleets. This role focuses on building a unified platform that senses, reasons about, and acts on the entire fleet, moving beyond traditional operational methods to achieve fleet autonomy. The platform is designed as a product with an API-first approach, offering SDKs, paved paths, and a self-serve portal for internal teams. It comprises agents for telemetry and command execution, a distributed infra graph, a reconciliation core for state management, and domain services for various operational tasks. The goal is to create an autonomous system that continuously improves through a sense-correlate-reason-act-learn loop, reducing manual interventions and enabling other teams to build services and workflows efficiently.

$250k - $300k

Runpod is seeking a systems-focused Cloud Infrastructure Security Engineer to safeguard its bare-metal and virtualized GPU cloud infrastructure. This role is crucial for ensuring the security, multi-tenant isolation, and integrity of the underlying GPU cloud infrastructure. The ideal candidate will have deep knowledge of Linux systems, kernel internals, hypervisors, and containerization, focusing on preventing tenant breakouts, securing GPU hardware, and building resilient infrastructure for AI and machine learning workloads. You will operate with an attacker's mindset, identifying and patching vulnerabilities at the lowest levels of the stack.

$152k - $175k

Modal is building a new infrastructure layer for AI, focusing on the demands of AI workloads that previous infrastructure couldn't support. Our platform provides instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are experiencing rapid growth, with a significant increase in annualized run rate and a recent Series D funding round. Our team comprises experienced engineers and researchers from diverse backgrounds, including creators of popular open-source projects and academic researchers.

$220k - $300k

Databricks

Databricks is seeking a Senior Software Engineer for its Files team to innovate at the intersection of storage, performance, and distributed systems. This role will directly shape the company's filesystem strategy to power next-generation agentic workloads. The Filesystem has emerged as a preferred runtime interface for AI agents, serving as a foundational layer for context, memory management, artifact authoring, version control, sandboxing, and inter-system communication, thereby accelerating AI adoption.

$166k - $225k