Find your next AI Engineering role

NVIDIA is seeking a Senior Software Engineer to enhance the Rust experience for CUDA Core Libraries. This role involves designing and implementing safe, idiomatic Rust APIs for GPU computing, while integrating closely with existing C/C++ components. You will be part of the team responsible for building the foundational libraries, algorithms, and infrastructure that power CUDA, ensuring a high-performance experience for developers and AI coding agents.

$184k - $357k

NVIDIA is seeking software engineers to work on the CUDA driver for Windows. CUDA is NVIDIA's platform for accelerating general-purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, from deep learning and scientific computation to video games and virtual reality. As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

$184k - $357k

NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of accelerated GPU computing. You will join a versatile software engineering team that delivers innovative software features to unlock the full potential and performance of NVIDIA hardware across diverse workloads like deep learning, scientific research, autonomous vehicles, gaming, and virtual reality. This multi-functional role requires collaboration with hardware architects, deep learning specialists, and both internal and external partners to advance the CUDA architecture. With the opportunity to collaborate with teams across the whole NVIDIA computing stack, you will help design software solutions across kernel mode components, compilers, and networking software. Your system-level expertise and creativity in solving complex problems will help invent the future of CUDA and NVIDIA’s compute technologies! Does crafting solutions to influence the evolution of GPU-accelerated computing sound exciting? If so, we invite you to join us and help engineer the next wave of innovation at NVIDIA!

$152k - $288k

We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general-purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features. As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!

$184k - $357k

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

NVIDIA is seeking a motivated Deep Learning engineer to integrate advanced CUDA features and Distributed Runtime technologies into AI stacks, including frameworks like PyTorch, TRT-LLM, vLLM, SGLang, and JAX. You will join the team responsible for core CUDA features and runtimes that scale Deep Learning and HPC applications, addressing diverse multi-GPU demands from large-scale training to low-latency inference. Your work will enhance the productivity and performance of AI applications, accelerating community adoption through AI toolkits. This role offers a significant opportunity to advance the state of the art in AI technologies.

$184k - $357k

GeForce NOW is Nvidia’s Cloud Gaming service, streaming games at the highest quality to any user, regardless of device. We are looking for a Senior System Software Engineer who is deeply technical, creative, and hands-on, with a strong understanding of cloud computing. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW, crafting efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.

$224k - $357k

SF Tensor is building the future of high-performance compute for AI by optimizing the entire stack, from hardware to cloud. They are developing a Kernel Optimizer for faster, cheaper, and more accessible compute, and a Model Foundry to manage experiments and move workloads across clouds and chips. This role focuses on the modeling side of their enterprise offering, which aims to turn customer datasets into specialist models in days. The infrastructure is designed to accelerate research and model training, enabling rapid experimentation and deployment.

$275k - $315k

SF Tensor is revolutionizing high-performance compute for AI by rebuilding the entire stack, from hardware to cloud. We are developing a Kernel Optimizer that automatically finds the fastest code for any vendor or cluster topology, and a Model Foundry to manage runs, simplify research, and enable workload portability across clouds and chips. Our mission is to eliminate the compute tax, making AI development faster, cheaper, and more accessible. We are backed by prominent investors and industry leaders, and we seek individuals who believe that advancements in AI are contingent on leaps in compute infrastructure.

$275k - $315k

SF Tensor is building the future of high-performance compute for AI by rethinking and rebuilding the entire stack, from hardware to cloud. We aim to eliminate the friction that slows down AI development, making compute faster, cheaper, and more accessible. Our Kernel Optimizer automatically finds the fastest code for any hardware, and our Model Foundry manages workloads across clouds and chips. We are backed by leading investors and are seeking individuals passionate about advancing AI through compute innovation.

$285k - $315k

We are seeking a Member of Technical Staff for GPU Compiler Engineering to build the machine that drives our cutting-edge GPU compiler. This role involves working on the entire pipeline, from StableHLO ingestion to backend code generation and executable binary creation. You will enhance our search-based compiler infrastructure, enabling agents and RL to find optimal code forms while guaranteeing correctness. This is an opportunity to work at the foundational level of the AI stack, directly impacting the speed and cost of large-scale training runs.

$285k - $315k

SF Tensor is building the future of high-performance compute for AI by rethinking and rebuilding the entire stack, from hardware to cloud infrastructure. They aim to eliminate the friction and cost associated with compute, making it faster, cheaper, and more accessible. Their core products include the Kernel Optimizer, which automatically finds the fastest code configurations for various hardware, and the Model Foundry, which streamlines research runs and manages workloads across different clouds and chips. This role focuses on building a critical layer for their compiler's search process: a serverless GPU container service that can run untrusted, freshly generated kernels quickly and safely across multiple vendors and accelerator types.

$275k - $315k

Arini is building a platform to streamline healthcare operations, which are currently fragmented, manual, and expensive. The company partners with large healthcare enterprises to automate processes like scheduling, billing, and insurance, aiming to improve efficiency and patient experience. Arini is backed by Y Combinator and experiencing rapid growth. The team is composed of individuals who are all involved in shipping code, emphasizing speed, ownership, and leveraging AI to automate tasks.

$120k - $300k

The AI Acceleration team is dedicated to making Perplexity the premier platform for building and deploying AI agents. We develop the essential infrastructure that engineers and agents rely on, while also pioneering novel methods for agents to write, test, review, and ship code. Our work empowers teams to transition from concept to production more rapidly, without sacrificing quality or reliability. We oversee the entire development lifecycle at Perplexity, from the initial coding environment to the production deployment systems. This encompasses local and cloud coding environments, build and test infrastructure, code review processes, and release management. Furthermore, we are constructing autonomous software development systems where agents handle increasingly complex engineering tasks, supported by explicit evaluation, verification, and safety protocols. We are responsible for both the underlying infrastructure and the workflows that ensure these systems are effective.

$250k - $405k

NVIDIA is building the next generation AI-native autonomous driving architecture, integrating classical safety stacks, foundation models, and scalable AI systems into a unified production platform. This role focuses on the future of autonomous systems, moving beyond purely classical robotics or end-to-end neural networks to a deep integration of safety architectures and large-scale AI-driven systems. If you are passionate about shaping the future of autonomous systems over the next decade, this is an exceptional opportunity.

$184k - $357k

NVIDIA is seeking a creative and expert Systems Engineer to join its Automotive Vehicles team and contribute to the expansion of NVIDIA's autonomous vehicle solutions. This role involves a focused effort on productizing groundbreaking perception solutions that will redefine transportation and the self-driving car industry. You will collaborate with a global team of systems engineers, AI applied researchers, and software engineers to build world-class perception, mapping, and localization solutions, ensuring adherence to all NVIDIA and automotive standards and guidelines. The work is described as exciting, fun, and relevant, offering an opportunity to make a lasting impact.

$184k - $357k

NVIDIA DRIVE is developing solutions for safe, scalable, AI-enabled autonomous vehicles, spanning in-car supercomputers to cloud-scale training. The team is seeking passionate, AI-powered engineers to join the DRIVE Mapping team. In this role, you will contribute to delivering efficient SD maps to in-car consumers, focusing on localization, routing, and navigation to enhance vehicle safety. If you are motivated by solving complex problems for self-driving cars and have a background in software design, embedded software, and real-time operating systems, we encourage you to apply.

$152k - $288k

NVIDIA is seeking a Senior Perception Engineer to develop and productize autonomous driving solutions. This role focuses on creating end-to-end perception modules responsible for online mapping, including road layouts, lane structures, boundaries, and other traffic components critical for driving without reliance on HD maps. The goal is to enhance the robustness, accuracy, and efficiency of these solutions to enable autonomous driving in all conditions. You will be involved in applied research and development of deep learning models for various perception tasks, developing generalizable approaches for diverse driving scenarios, and driving data-driven development by collaborating with data collection and labeling teams. Leveraging data simulation and augmentation will be key to solving extreme scenarios, and you will be responsible for productizing these solutions to meet stringent requirements for safety, latency, and software robustness.

$184k - $357k

We are seeking exceptional Senior Machine Learning and Simulation Engineers to join NVIDIA's Autonomous Vehicles (AV) Simulation team. This role requires strong technical leadership and outstanding software engineering skills, coupled with deep expertise in both simulation and artificial intelligence, including deep learning, reinforcement learning, end-to-end driving and Physics AI models. The successful candidate will have a solid track record of productizing ML solutions for autonomous driving and simulation at scale. This position centers on developing a Closed-Loop Simulation-based Reinforcement Learning (RL) framework in order to train advanced end-to-end AV models, such as Alpamayo R1. This position will design and improve the accuracy and performance of the RL framework and simulation, leveraging SOTA techs including NuRec, Traffic Models, and Cosmos World Model. Success in this role requires close collaboration with the AV Platform, AV Product, and Research teams.

$224k - $431k

Parallel is a web infrastructure company building the web for AIs. Our products enable leading businesses to create AI agents with programmatic access to the web. We are seeking a Deployed Engineer to join our team, working closely with customers to help them maximize the value of our API and scale their operations. This role requires a deep understanding of customer products, use-cases, and our API, positioning you as a power user.

$150k - $300k

Sift is seeking a Senior Engineering Manager to lead its Machine Learning team, internally known as "Potato Radius." This team is responsible for building and maintaining the training pipelines, feature infrastructure, and evaluation systems that power Sift's scoring across a massive scale of events and customers. The ideal candidate is an inspiring and technical manager who can balance immediate priorities with long-term vision, foster collaboration and transparency, and drive a get-stuff-done mindset. You will be instrumental in building a culture of mentorship, providing constructive feedback, setting clear goals, and growing the team through effective hiring.

$240k - $340k

Percepta is seeking a player-coach Engineering Manager to lead and grow a team of Applied AI Engineers. These engineers embed directly with customer teams to deliver production AI systems in challenging enterprise environments. As a manager, you will be responsible for scaling the growth of your team, focusing on their development and trajectory. This is a hands-on role where you will still be writing code, reviewing designs, and stepping in to ensure successful launches. You will partner with Engagement Leads on customer strategy and Growth Leads on engineer development, while also contributing to the evolution of Percepta's in-house toolkit, Mosaic, based on your deep understanding of customer pain points.

$250k - $425k

Hyperbound is seeking a Machine Learning Engineer to build and ship the models powering their Revenue Activation Platform. This role involves owning the full lifecycle of models, from training and fine-tuning open-source models to deploying them in production and ensuring their performance. You will focus on pushing models on-device, building robust evaluation frameworks, and contributing to the company's agentic operating system for sales. This is a challenging, fast-paced role where you'll work closely with founders and engineering, with significant input into product development.

$260k - $300k

Faire is seeking a Senior Security Engineer to focus on Enterprise AI, ensuring the safe and rapid adoption of AI technologies. This role involves owning and building the technical guardrails for AI platforms, enabling secure AI acceleration without introducing new exposures. You will have a significant voice in scaling AI safely, translating strategic direction into functional systems, standards, and controls. The position is ideal for someone who wants to directly manage AI platforms, build technical safeguards, and act as a trusted technical advisor for AI tool adoption.

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. This role may require responding to incidents on short-notice, including on weekends.

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 reliably 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. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The AI Reliability Engineering (AIRE) team partners with other teams across Anthropic to enhance the reliability of critical serving paths, from SDKs and network layers to API, serving infrastructure, and accelerators. AIRE members work directly with partner teams to make the systems that deliver Claude more robust and resilient, both during incidents and through collaborative projects. This role offers dynamic, cross-cutting exposure to the company's most important systems.

€235k - €295k

AfterQuery is an applied research lab focused on curating data solutions for foundation model development, aiming to make expertise widely accessible. We work directly with customers building foundation models, playing a crucial role in their improvement. This is a unique opportunity to join a rapidly growing AI company, reportedly a fast-approaching unicorn with significant backing from top investors and individuals from leading AI labs. As a Research Engineer, you will design and execute training experiments to understand how datasets impact model behavior, using controlled SFT and RL experiments to measure the effects of data on capability, generalization, and alignment. You will manage the entire experiment lifecycle, from hypothesis formulation and pipeline building to analysis and iteration, translating data into evidence of model improvement.

$210k - $450k

This role is responsible for advancing the agentic capabilities of our models, with ownership spanning the full development cycle. The research team is small, and the role carries a corresponding degree of autonomy and responsibility. We are looking for individuals to build AI that extends human will and judgment, developing frontier models and crafting interfaces that broaden human-AI communication.

$350k - $475k

The Coding Agents team at Thinking Machines is dedicated to enhancing our AI models' capabilities in agentic coding. This involves developing expertise in writing, debugging, and reasoning about code across complex, multi-turn tasks. As a member of this small, high-leverage team, you will be instrumental in defining the recipes, data, and infrastructure that drive coding proficiency improvements in every model release. You will own the entire post-training stack for coding capabilities, encompassing synthetic and human data generation, RL environments, reward design, and large-scale training runs. This research-focused role offers significant ownership, allowing you to shape the technical direction of our coding agent development.

$350k - $475k

Mercor is seeking a Research Scientist to lead the development of the next generation of APEX benchmarks and their associated expert-built datasets. APEX benchmarks measure the real-world impact of AI on professional work, covering tasks in areas like investment banking, law, consulting, accounting, and software engineering. This role is highly visible, sitting at the intersection of research, company strategy, and go-to-market efforts. You will be responsible for defining future benchmark objectives, designing the evaluation methodology, collaborating with partners, and scaling production. Mercor is an early-stage company on the research side, offering an opportunity to build foundational methodologies and tooling.

$200k - $500k

Perplexity is seeking energetic researchers and engineers to join its Secure Intelligence Institute (SII), a flagship research center focused on advancing security, privacy, and trust in frontier intelligence. The SII aims to push the boundaries of AI security research, implement these advancements into Perplexity's systems, and share knowledge to benefit the wider AI ecosystem. As a member of SII, you will conduct original and impactful research to enhance the security and privacy of frontier intelligence systems. Your work should be both theoretically rigorous and practically applicable to improving the systems used by millions daily. You will leverage insights from operating large-scale AI systems and translate research findings, both internal and external, into practical improvements that safeguard Perplexity's users.

$220k - $405k

Hedge is seeking a founding engineer to develop the agents and infrastructure necessary to scale an insurance company. This role involves building systems that process insurance submissions, manage carrier interactions, and automate the process from initial contact to policy coverage. The agents are already operational and used by paying customers, and the founding engineer will be responsible for enhancing their capabilities, improving reliability, and integrating them with carrier systems. This is a unique opportunity to work directly with the founders, contribute to transforming the insurance industry through software, and enable a small team to serve a large volume of brokers.

$150k - $250k

Monte Carlo is seeking an Applied AI Engineer to join their team and build the products that ensure the trustworthiness of AI agents. This role involves taking ambiguous problems from research and prototyping through to production, integrating solutions into the platform, and establishing best practices for LLM development. You will be responsible for designing and shipping agent-powered features, building evaluation infrastructure, and managing retrieval and context pipelines. This is a critical role in a fast-growing company at the forefront of agent observability and AI transformation.

$200k - $260k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Mercor Enterprise brings this infrastructure to Fortune 500 companies, capturing how their best people work and translating that expertise into agents. We are seeking a strong engineer to build scalable agentic products, working with a fast-paced, deeply committed team at the forefront of AI advancement.

$160k - $500k

Anthropic

Anthropic's Inference organization is responsible for delivering Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We are seeking a Staff engineer to lead the Inference Developer Productivity team. This team is dedicated to making every engineer in the organization significantly more effective at building, testing, and shipping inference software. This senior individual contributor role involves broad technical ownership, where you will set the technical direction for the team's toolchains, workflows, and feedback loops. You will be responsible for making critical decisions on architecture, prioritization, and trade-offs across heterogeneous accelerator platforms. You will partner closely with the Engineering Manager, who handles hiring and people development, while you drive the technical roadmap and execution. Collaboration with Anthropic's central Infrastructure organization is also key to ensure Inference's multi-accelerator reality is well-supported without duplicating efforts.

$405k - $485k

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on building the "judgement layer" of our agent evaluation platform. You will develop the rubrics, judges, and calibration methods necessary to accurately score agent actions across multi-step trajectories. The goal is to create a reliable signal that not only measures performance but also serves as a reward mechanism for training agents. This is an applied ML role tackling the open research problem of LLMs judging LLMs, specifically applied to agents interacting with real-world enterprise environments.

Applied Intuition is seeking a talented Engineer to design and develop the world representation layer for their Axion simulation stack. This role involves building the spatial worlds that games, simulations, or autonomous systems inhabit, focusing on how environments are structured, queried, and updated at high frequency. It's a deeply technical position at the intersection of computational geometry, real-time world modeling, and large-scale simulation, contributing to foundational scene and mapping systems that support downstream sensor fusion and path planning. You will define 4D spatial abstractions, Entity Component Systems, and high-performance data structures for multi-agent reasoning across air, ground, and maritime domains.

$110k - $150k

We are seeking a versatile Software Engineer to join our team and contribute to building the core infrastructure that powers our innovative products, including Hermes Agent and Nous Portal. This role is ideal for engineers with a broad skill set who enjoy tackling diverse challenges across product surfaces, backend services, cloud infrastructure, and developer tooling. You will have the opportunity to work on high-leverage problems in a fast-paced environment, making a significant impact on products used by people every day.

Cinder is seeking an AI Engineer to join their fast-moving team, backed by Accel and Y Combinator. This role is crucial for building the ML systems that enhance Cinder's speed, efficiency, and accuracy. You will transform vast amounts of customer decision data into production models that directly impact customer outcomes. The ideal candidate is a builder who has successfully taken models from raw data to production at scale, possesses strong judgment in selecting the most efficient and reliable model for a given task, and has a deep understanding of both ML methods and LLMs. This position requires a keen focus on precision-recall tradeoffs, class imbalance, and serving latency, alongside model architecture.

$220k - $260k