JAX Jobs

Scale AI

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

$302k - $378k

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

$180k - $440k

NVIDIA's TensorRT team is seeking talented engineers to advance high-performance AI inference on NVIDIA GPUs. This role focuses on developing software that accelerates state-of-the-art generative AI models for local and enterprise deployments. You will tackle challenging problems in GPU code generation, just-in-time compilation, and inference optimization to deliver high performance across diverse models and hardware configurations. As a Senior Software Engineer, you will design and implement advanced GPU inference software, translating a deep understanding of GPU execution into efficient code generation and measurable improvements in generative AI inference.

$152k - $288k

As a new grad AI Performance Engineer, you will be responsible for bringing up new open-source foundation models on the SambaNova dataflow platform and optimizing their performance. This involves profiling model execution, identifying performance bottlenecks across compiler, runtime, and hardware layers, and applying optimizations such as quantization, kernel fusion, and improved scheduling. You will collaborate with machine learning, compiler, runtime, and hardware teams to integrate performance improvements into SambaNova products and benchmark throughput and latency to track changes across releases.

$131k - $197k

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

Sygaldry Technologies is developing quantum-accelerated AI servers to dramatically speed up AI training and inference. By merging quantum computing with AI, the company aims to accelerate the development of superintelligence and ensure its efficient and affordable operation. Their unique approach involves integrating multiple qubit types into a single, fault-tolerant architecture to achieve the necessary cost, scale, and speed for advanced AI applications. Sygaldry is at the forefront of new discoveries in physics, engineering, and AI, tackling complex challenges with a grounded, optimistic, and rigorous culture. They are seeking individuals passionate about defining the future at the intersection of quantum and AI and driving its global impact.

$125k - $145k

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This is a unique opportunity to work like a founder within Salesforce, exploring high-impact research directions, prototyping cutting-edge AI capabilities, and seeing how ideas are validated with customers and turned into production-ready solutions. Interns will have the freedom to propose and explore new ideas alongside mentors and research scientists, with access to Salesforce's global customer and product ecosystem. The role is ideal for individuals comfortable with ambiguity, bringing energy and focus, and who care as much about customer adoption as technical innovation, offering the pace and ownership of a startup with the reach and resources of Salesforce.

NVIDIA is seeking a graduate research intern to advance integrated sensing and communications (ISAC) on GPU-accelerated platforms. The intern will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed. This role is ideal for a student passionate about deep algorithm work and translating ideas into functional systems.

$0k - $0k

Thinking Machines is building AI that extends human will and judgment. We are developing Tinker, a fine-tuning API that empowers researchers and developers to customize frontier AI models. This role focuses on building and enhancing our training systems for Tinker, specifically involving RL systems, numerics, and kernels, to enable users to train models with their own data and algorithms.

$350k - $475k

NVIDIA is seeking an Engineering Manager to lead the strategy for verifying AI compilers for next-generation deep learning workloads. This role involves managing a technical team focused on AI compiler verification, ensuring the quality of AI compilers that optimize deep learning models for GPU execution. The position requires a deep understanding of compiler quality challenges at the intersection of compilers, machine learning frameworks, numerical computing, formal reasoning, and large-scale systems engineering.

$168k - $322k

Cohere

Cohere is seeking a Member of Technical Staff to focus on post-training large language models (LLMs) using reinforcement learning and developing methods for improved generalization. This role involves designing training recipes, environments, and evaluations to ensure models learn skills effectively and generalize beyond their training data. You will collaborate with data infrastructure, evaluation, and pre-training teams to translate research findings into robust training procedures for production models. The ideal candidate is passionate about advancing AI capabilities and contributing to the widespread adoption of AI in enterprise solutions.

CA$295k - CA$535k

NVIDIA is seeking a Principal AI and ML Infra Software Engineer to join their Hardware Infrastructure team. This role is pivotal in enhancing researcher efficiency by implementing advancements across the entire technology stack. The engineer will collaborate closely with customers to identify and resolve infrastructure deficiencies, enabling groundbreaking AI and ML research on GPU Clusters. The goal is to build powerful, effective, and scalable solutions that shape the future of AI/ML technology.

$272k - $431k

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge research in robotics and AI. This role offers a unique opportunity to work at the intersection of academic research and industry impact, focusing on the full robotics stack from perception to foundation models. Interns will play a pivotal role in developing algorithms, integrating methods into real-world systems, and contributing to high-impact publications and code releases. The lab has a strong track record of influential research and has significantly impacted NVIDIA's robotics and simulation products.

$0k - $0k

NVIDIA Research is seeking leading researchers in the area of simulation and AI for quantum. You should have a strong background of research excellence, software systems building experience, and interest in advancing the state-of-the-art in quantum computing and applications of GPUs to the quantum computing ecosystem. Specific areas of research interest include but are not limited to bespoke quantum representations, tensor network methods, quantum surrogate modeling, quantum inverse design, and automated proving for quantum systems. This role involves researching and developing creative and innovative algorithms and software systems for the quantum computing ecosystem, collaborating with research and product teams, and publishing original research.

$0k - $0k

NVIDIA is seeking a research intern to contribute to building humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The mission is to create general-purpose embodied agents capable of learning and mastering complex skills in both virtual and physical environments. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, game AI, and physical simulation, contributing to significant research projects and product roadmaps, including recent milestones like Project GR00T.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for its 2027 Deep Learning internship program. This 12-week full-time internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading Deep Learning teams. Interns will work on projects with a measurable impact on NVIDIA's business, contributing to advancements in AI and digital twins that are transforming major industries. We are looking for students pursuing a B.S., M.S., or Ph.D. degree in a relevant field who are passionate about tackling complex challenges.

$0k - $0k

NVIDIA is seeking interns to research scalable differentiable algorithms, including adjoint and automatic differentiation methods. This role will involve connecting simulations with experimental data for calibration and data assimilation using AI/ML techniques. The work will be evaluated on simulation workloads and assessed for integration into NVIDIA software. This internship is ideal for individuals passionate about mathematics, code, hardware, and engineering applications.

$0k - $0k

We are seeking an exceptional hands-on engineer to help our partners and customers make demanding physics and robotics simulation workloads run exceptionally well on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software to find the true limits of real applications and turn that understanding into durable code and actionable feedback for NVIDIA engineering teams. This role is for someone with a recognizable technical body of work: not someone who merely used advanced systems, but someone who took stewardship of one and made it substantially better.

$224k - $431k

NVIDIA is seeking senior engineers to enhance its AI platform, focusing on performance optimizations within deep learning frameworks like JAX. The goal is to create a robust, efficient, and scalable platform for data handling, training, and analysis across various deep learning solutions. This role requires strong programming and system design skills, along with excellent communication and planning abilities, to contribute to the next generation of numerical computing and machine learning research tools.

$184k - $357k

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises world-class talent from leading AI companies. We are seeking a founding member for our safety team to tackle critical challenges in AI safety and alignment. This role is hands-on, focusing on ensuring our AI agents behave correctly and safely in real-world applications, rather than solely in research benchmarks. You will play a pivotal role in shaping the safety and alignment of our AI systems.