Rust Jobs
131 open roles mentioning Rust
Senior Software Engineer, CUDA Python Core Libraries
nvidia
NVIDIA is seeking a Senior Software Engineer to enhance the Python experience for its foundational CUDA Core Libraries. This role involves building Pythonic APIs, language bindings, algorithms, and runtime infrastructure that sit on top of native C/C++ foundations. You will contribute to the core libraries and infrastructure that make CUDA a high-performance platform for developers and AI coding agents. The position requires a strong focus on designing and implementing efficient, reliable, and scalable GPU-accelerated software, with an emphasis on improving the Python developer experience through robust tooling and clear documentation.
$184k - $357k
Distinguished Engineer, Storage – AI Cloud
nvidia
NVIDIA is seeking a Distinguished Engineer to lead the company's storage strategy for AI Cloud, focusing on the Neocloud Provider (NCP) and Cloud Service Provider (CSP) ecosystem. This role involves directing the architecture of high-performance parallel file systems, object stores, and block storage at exabyte scale. You will remain hands-on, collaborating with engineers, SREs, partners, and storage vendors, and leveraging NVIDIA's AI tools to enhance productivity. This is a unique opportunity to shape the storage framework for the AI era at a company that pioneered accelerated computing, ensuring that storage platforms can keep tens of thousands of accelerators continuously busy and power the largest AI workloads worldwide.
Principal Systems Software Engineer, LPU
nvidia
NVIDIA's LPX System Software team is seeking a Principal Software Engineer to build foundational software for a novel deterministic compute architecture. This role involves developing hardware abstraction layers, core system libraries, drivers, and runtime components, with a strong emphasis on memory safety and API stability using Rust. The position requires setting technical direction, shaping architecture, and driving complex reliability and bring-up challenges. A key aspect of this role involves leveraging AI coding agents as a primary workflow tool, requiring senior engineers to be adept at directing them and designing systems that are legible to both humans and AI.
$272k - $431k
Senior Research Engineer, Robotics Systems
nvidia
NVIDIA is seeking a senior or principal engineer to join the Generalist Embodied Agent Research (GEAR) group, focusing on robotics systems. This role is central to Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. You will collaborate with a research team known for its influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, contributing to impactful research projects and product roadmaps.
$184k - $357k
Manager, Software Architecture
nvidia
NVIDIA is seeking a Software Engineering Manager for its applied research team within the Networking Systems & Software Architecture group. This role will focus on solving complex AI infrastructure challenges by building systems-level software that efficiently moves data between GPUs, nodes, and storage at the speed required for modern AI. The team's work spans low-level transport optimization, hardware-software co-design, and communication frameworks integrated into production AI stacks, with an expansion into emerging areas like quantum computing interconnects. The Engineering Manager will lead this team, driving execution and setting technical direction, while fostering an extraordinary engineering organization.
$184k - $357k
Principal Architect, AI Networking
nvidia
An applied research team within NVIDIA's Networking Systems & Software Architecture group is tackling complex AI infrastructure challenges. The team develops systems-level software to optimize data movement between GPUs, nodes, and storage at the speed required for modern AI, focusing on low-level transport, hardware-software co-design, and communication frameworks integrated into AI stacks. Their work also extends to emerging areas like quantum computing interconnects. This Principal Architect role will define the research agenda and architectural direction for NVIDIA's large-scale AI systems communication, encompassing GPUs, DPUs, NICs, and heterogeneous storage. The position demands the ability to define project scope, conduct original research, publish findings, and translate breakthroughs into production-ready software for industry-wide deployment.
$272k - $431k
Senior System Software Engineer - Dynamo-Triton Inference Server
nvidia
We are seeking a Senior System Software Engineer to contribute to the development of the Dynamo-Triton Inference Server. This role is part of NVIDIA's GPU-accelerated deep learning software team, which is building a high-performance AI inference platform to simplify the design and deployment of AI models. The platform aims to make AI models more accessible to all users and is crucial for enabling breakthroughs in various AI fields, including image classification, speech recognition, and natural language processing.
$152k - $288k
Senior Machine Learning Applications and Compiler Engineer, LPX
nvidia
NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative!
$152k - $288k
Principal Software Engineer – Large-Scale LLM Memory and Storage Systems
nvidia
NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and reasoning models across multi-node distributed environments. Built in Rust for performance and Python for extensibility, Dynamo orchestrates GPU shards, routes requests, and manages shared KV cache across heterogeneous clusters so that many accelerators feel like a single system at datacenter scale. As large language models rapidly outgrow the memory and compute budget of any single GPU, this platform enables efficient, resilient deployment of cutting-edge LLM workloads. We are seeking a Principal Systems Engineer to define the vision and roadmap for memory management of large-scale LLM and storage systems.
$272k - $431k
Senior / Staff Software Engineer — Product (Backend-Focused)
Snorkel AI
Snorkel AI is seeking Senior and Staff Product Engineers with strong backend experience to help shape and deliver product capabilities that simplify complex workflows for users. This role involves owning backend features from concept to production, collaborating closely with Product, Design, and Engineering teams. You will be instrumental in building and evolving APIs, services, data models, and workflow capabilities that support the product, focusing on areas like data cataloging, agent benchmarking, and workflow automation. The ideal candidate possesses sound technical judgment and a commitment to product quality, usability, and impact.
$208k - $315k
Software Engineer, Imagine Safety
xAI
The Imagine team is redefining AI-driven media experiences for Grok users worldwide. As a Product Safety Engineer on the Imagine team, you will build the critical safety systems and infrastructure that ensure Grok’s multimodal generation capabilities (images, video, audio, and beyond) are powerful, delightful, and responsibly deployed. You’ll design and scale safeguards, detection systems, and evaluation frameworks that prevent harm while preserving creativity and user freedom. Your work will directly shape how millions of users experience generative media — balancing rapid innovation with rigorous safety, trustworthiness, and alignment with SpaceXSI's mission. If you’re a driven engineer passionate about AI safety, content integrity, and building robust systems that protect users without stifling innovation, this is your opportunity to make a lasting impact at the frontier of multimodal AI.
$180k - $440k
Software Engineer, Training/Inference (C++)
xAI
SpaceXSI is building the high-performance inference platform that serves Grok to millions of users daily with exceptional speed and reliability. As a Member of Technical Staff - Inference, you will be instrumental in designing and optimizing large-scale model serving systems from the ground up. This includes owning distributed infrastructure components like global KV cache, continuous batching, load balancing, and auto-scaling, as well as delving into deep low-level optimizations such as GPU kernels, quantization, and speculative decoding. This is a high-impact role where your contributions will directly influence the speed and reliability of user interactions with Grok at a massive scale.
$180k - $440k
Senior Engineer, Bioinformatics
Anthropic
As a Senior Software Engineer on the Life Sciences team, you will build and maintain biology software for use by Anthropic's scientists and the wider research community. This role involves accelerating biological progress with AI, combining frontier models with hands-on research. You will be responsible for the quality and reliability of released tools, pipelines, datasets, and benchmarks in genomics and structural biology, ensuring they are usable, trustworthy, and well-documented for external researchers. You will also represent the team within the computational biology community, contributing to public repositories, answering issues, and speaking at conferences. The role emphasizes using AI coding agents heavily in the software development lifecycle, holding agent-generated code to the same high standards as manually written code.
$300k - $320k
Sr. Software Engineer, Multimodal Understanding
xAI
SpaceXSI is building Super Intelligence to help humanity understand the universe, and you will join the multimodal team to push toward superhuman multimodal intelligence. This role involves advancing understanding and generation across modalities—image, video, audio, and text—spanning the full stack from data curation to end-to-end product experiences. You will collaborate cross-functionally to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration, contributing to models that can see, hear, reason about, and interact with the world in real time.
$180k - $440k
Senior Software Engineer (DCIE)
crusoe
Crusoe is seeking a highly skilled Software Engineer to join their Data Center Infrastructure Engineering team. This role focuses on developing software for managing a fleet of GPU servers and the data centers that house them. The position involves creating and implementing advanced diagnostic, observability, automation, and repair tooling for high-performance GPU compute clusters. The ideal candidate will be a hands-on problem solver comfortable working independently, playing a critical role in maintaining the health and scalability of Crusoe's rapidly growing GPU fleet.
$170k - $205k
Staff+ Software Engineer, Deployment
Anthropic
Our team builds the systems that enable every change to Anthropic's software to reach production safely and predictably. This includes managing pipelines, staged rollouts, health-gated promotion, rollback, runtime configuration, and feature flags across a large fleet of machines. You will own a significant part of this end-to-end process, from initial design to ongoing operation in production. If you are passionate about influencing the speed and safety of Anthropic's software releases, this role offers a unique opportunity.
$405k - $485k
Principal Cloud Platform Engineer
SambaNova
As a Principal Cloud Platform Engineer, you will specialize in our AI Inferencing Service, acting as the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have exceptional uptime, low-latency response times, and efficient resource utilization, directly impacting the experience of our customers and the success of our AI products. This role includes participating in a shared on-call rotation to maintain 24/7 service reliability.
$210k - $280k
Director | Engineering, ML
Machinify
Machinify is a leading healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. We are seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team. This role involves managing and growing a team responsible for building and operating the company's core AI/ML platform at massive scale. You will also act as a key thought partner to the Chief AI Officer, translating data science proof-of-concepts into scalable, production-grade services. The ideal candidate possesses a blend of AI/ML engineering expertise and applied data science fluency, understanding the intricacies of productizing AI/ML capabilities including serving, observability, reliability, and scale.
Software Engineer, Imagine Model
xAI
As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content. Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.
$180k - $440k
Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)
Perplexity AI
Perplexity is seeking a Member of Technical Staff to join their GPU Cluster Infrastructure team. This role will own the underlying GPU infrastructure that powers Perplexity's AI inference requests, which serve hundreds of millions of queries monthly. The goal is to abstract away the complexity of GPU provisioning, cluster configuration, and multi-cloud management into a unified, self-serve platform for both training and inference workloads. You will be responsible for the entire lifecycle of the GPU fleet, ensuring reliability, efficient capacity utilization, and seamless operation across different cloud providers.
$250k - $485k
