Find your next AI Engineering role

NVIDIA is seeking a Senior Software Engineer to focus on Deep Learning Inference. You will be instrumental in designing, building, and optimizing GPU-accelerated software for advanced AI applications. This role involves developing and maintaining high-performance open-source inference frameworks, crucial for efficient large-scale model serving. You will contribute to improving these platforms to enable smooth deployment of cutting-edge language models and work with the deep learning community to integrate the latest algorithms into inference frameworks. Your efforts will drive performance improvements for state-of-the-art LLM and Generative AI models across various NVIDIA hardware, utilizing open-source tools like CUTLASS, OAI Triton, NCCL, and CUDA kernels.

$152k - $288k

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

We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading university-affiliated researchers and labs. In this role, you will work directly with researchers to accelerate the adoption of NVIDIA’s sophisticated AI and computing platforms. The ideal candidate combines deep technical expertise with strong experience in research engagement and a proven track record to translate advanced technologies into valuable, insight-focused outcomes.

$152k - $288k

Join the new Agentic Engineering team, focused on automating code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. This is a greenfield opportunity offering foundational technical influence within a high-autonomy team. You will partner directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure, applying modern AI to the craft of engineering itself. The role involves identifying friction points where agentic workflows can have the highest impact and iterating with teams as they integrate agents into production.

$224k - $357k

Simple AI is seeking founding software engineers to build the core systems behind their state-of-the-art voice AI agents for enterprise clients. This high-ownership role involves working across product to enhance agent speed, reliability, and capabilities in production environments. You will ship customer-facing features, optimize latency and reliability, develop internal tools, troubleshoot complex issues, and scale the platform to meet growing customer demand. Engineers collaborate closely with product and customers, requiring a fast-paced approach, ownership of system components, and a drive to build technology that directly impacts business revenue.

$130k - $280k

Simple AI is seeking an AI Agent Engineer to join their growing team and help build state-of-the-art voice AI agents for enterprise clients. This role involves working directly with customers to transform Simple's voice AI platform into production-ready agents tailored to each business's unique needs. You will engage in both pre-sales and post-sales activities, including creating custom demos, understanding customer workflows, deploying agents, debugging complex issues, enhancing performance, and translating customer feedback into product enhancements. This is a highly technical and customer-facing position for individuals who enjoy coding, interacting with clients, working at a fast pace, and seeing the direct business impact of their work.

$120k - $200k

Nox Metals is seeking a Machine Learning Engineer to develop production systems that enhance the speed and accuracy of quoting, material selection, planning, and factory decisions. This role involves working with complex operational data, testing hypotheses against real-world outcomes, and deploying effective solutions into production. The focus is on applied machine learning, where models must demonstrably improve decisions, withstand operational conditions, and gain user trust.

$152k - $168k

Mem0 is building the memory layer for AI agents, enabling them to remember conversations, learn from interactions, and build context over time. We are a Y Combinator-backed company with significant funding, powering millions of AI interactions for enterprise customers and an open-source community. This full-time, onsite role in San Francisco, CA, offers a unique opportunity to own the AI product surface of the Mem0 Platform. You will be responsible for the end-to-end frontend development, setting the visual and interaction standards for our dashboard, playground, and documentation. Working directly with the CTO, research, and customers, you will translate complex memory problems into intuitive user interfaces, shipping AI products to real users.

$150k - $250k

Conveo.ai is a rapidly growing Y Combinator-backed company seeking a Senior Product Engineer to join its small, impactful engineering team. This role offers the unique opportunity to shape the company's future and own the full product development lifecycle, from customer problem identification to shipping working software. You will report directly to an engineering lead and collaborate closely with the CTO. Conveo is building an AI research platform that enables fast, affordable, and high-quality consumer and B2B research, used by global brands like Unilever and Google to help companies better understand their customers.

$200k - $260k

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Come join the DL Kernel Library team and see how you can make a lasting impact on the world. We're looking for Software Engineer Interns to help develop groundbreaking technologies in the deep learning inference and training systems software stack! We build innovative AI systems software, primarily cuDNN and FlashInfer. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient kernel implementations, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

$108k - $196k

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

Jeeves is seeking a Senior AI Engineer to own AI workflows end-to-end, from design and implementation to measurement and continuous improvement. This hands-on role requires an AI-native approach, utilizing coding agents and AI tools daily to drive efficiency. You will collaborate closely with Product and Backend Engineering teams, taking initiative to define and build solutions rather than waiting for detailed specifications. The position is ideal for individuals who thrive on solving complex problems and are looking for a steep learning curve in a fast-growing fintech company.

NVIDIA is seeking an extraordinary Senior Perception Engineer to develop and productize autonomous driving solutions. This role focuses on creating end-to-end perception modules responsible for understanding traffic signals, signs, road markings, and construction objects, crucial 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 instrumental in designing perception systems, applying deep learning for various traffic-related 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 safety, latency, and software robustness requirements.

$184k - $357k

Physical Intelligence is building a platform to bring general-purpose AI into the physical world, powering robots with foundation models and learning algorithms. As an API Product Engineer, you will develop the core product surface that enables external companies to utilize Pi's models similarly to how they use LLM APIs today. This involves allowing them to bring their own data, fine-tune models, evaluate performance, and run low-latency inference within their own environments. You will own this entire experience, transforming close-knit collaborations into a scalable platform designed to support a vast number of robots.

As a Deployed Engineer, you will work on challenging applied AI problems, focusing on production systems that support real-world missions for defense, civilian, and intelligence customers. You will help design, deploy, and operate AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments demanding security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor, working closely with government engineers and system integrators throughout the entire lifecycle.

$185k - $300k

LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. With significant funding and a rapidly growing platform that includes open-source tools and a commercial offering, team members have a meaningful impact on shaping the future of AI technology. The Deployed Engineering team works directly with companies building and running AI agents in production, partnering closely with customer engineers across the full lifecycle to achieve technical wins and ensure reliable operation at scale using the LangChain suite. This role sits at the intersection of engineering, product, and go-to-market, feeding real-world insights back into the platform.

$185k - $300k

LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work directly with customer engineering teams, co-architecting and co-building AI agents, and owning the technical win in pre-sales by designing POCs and guiding evaluations. The position involves helping customers deploy and operate agent-based applications, advising on architecture and best practices, and running technical demos and trainings. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market, with a fast feedback loop and visible impact on how AI agents are built in the real world.

$185k - $315k

Moveworks is seeking a Senior Staff Software Engineer to join our Agentic AI Harness & Quality team. This role is for experienced software engineers looking to apply their skills at the forefront of AI agents. You will play a crucial part in advancing the capabilities and reliability of AI agents for enterprise use at scale. You'll contribute to the evolution of our AI Assistant platform, focusing on areas like agent orchestration, secure code execution, performance optimization, agent memory, LLM self-reflection, and knowledge graphs. You will leverage modern enterprise AI tools, including leading LLMs, and work within a team that prioritizes rapid development, scalable infrastructure, and pushing the boundaries of AI value for customers.

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

Handshake is seeking a Member of Technical Staff to define how frontier coding agents are benchmarked and improved. This is a high-ownership role for researchers who build, partnering with top AI researchers and software engineers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques focused on AI for Coding. You will tackle core questions in frontier AI progress, including what to measure, how to design effective evaluations, create high-signal feedback, and build actionable data systems. As an early member, you will have significant influence over the team's technical direction, operating culture, and the open-source software, benchmarks, and research products developed.

$200k - $350k

Anthropic

Anthropic is seeking a Manager of Applied AI Engineering to lead a team of technical engineers embedded with their largest and most strategic accounts. These partner-customers are key revenue drivers and distribution channels, utilizing Claude to transform their businesses. The team will work hands-on with these organizations, co-designing technical solutions, advising on architecture, developing evaluation frameworks, and guiding advanced implementation patterns for LLMs. The manager will be responsible for hiring, coaching, and growing the team while maintaining technical oversight and setting high engineering standards. This role involves close collaboration with various internal teams and external stakeholders to drive technical impact and shape Anthropic's product and research roadmap.

$320k - $405k

Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

Snorkel AI is seeking a Research Fellow to build open benchmarks and evaluation environments that help shape how AI progress is measured. This fellowship is designed for PhD students and postdocs who wish to translate significant research questions into novel AI evaluation methods. The fellow will lead projects from inception to public release, with guidance from a Snorkel researcher and access to company resources, including domain experts and compute power. This role involves a hybrid work arrangement, with at least one day per week spent with Snorkel's research team in San Francisco or New York offices.

$85k - $165k

PermitFlow is seeking an Applied Machine Learning Engineer to develop the ML foundation for their AI agents, which are redefining how America builds by tackling complex information challenges in the construction industry. This role involves designing, prototyping, and deploying intelligent systems for document processing, insight extraction, and autonomous permitting workflows. You will own the end-to-end ML lifecycle, from research and data engineering to production deployment and continuous evaluation, contributing to the AI infrastructure that accelerates housing, clean-energy, and infrastructure development.

$175k - $250k

Databricks

Databricks is seeking a Staff Machine Learning Engineer to join a new, nimble team in NYC focused on building the Customer Data Platform on Databricks. This role is a unique opportunity to be part of a 0-to-1 environment, combining startup excitement with the resources of a tech leader. You will be instrumental in bringing enterprise-grade ML and AI personalization capabilities to companies that already have their data on Databricks, enabling them to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting without needing an in-house ML/AI team. This is a foundational role where you will set the technical direction and best practices for ML/AI personalization work.

$192k - $260k

As a Senior Forward-Deployed Engineer on the Professional Services team, you will embed with developer teams at strategic enterprise customers to lead frontend migrations, performance work, and production AI builds. Success looks like production code live in customer environments, customer teams able to extend it on their own, and a wider partnership with each account. This is a remote role open to candidates in the US, with occasional travel to customer sites.

$137k - $207k

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 a Senior AI Researcher to join their Pre-training team, focusing on advancing the architecture and training of next-generation foundation models. This role involves designing inference-efficient architectures, optimizing large-scale training recipes, and working with thousands of NVIDIA GPUs. The position is ideal for someone excited about the intersection of research and engineering, translating mathematical reasoning into principled training decisions from small-scale experiments to large-scale runs. The researcher will influence model quality, run reliability, and efficiency by combining rigorous experimental design with high-quality production code.

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.

SambaNova is seeking a Senior RDU System Architect to join their team. This role is crucial in transforming silicon into shippable AI infrastructure, specifically focusing on SambaRack-class server and rack designs, the interconnect fabric linking RDUs, and the power and cooling systems required for dense AI compute. You will define the architecture from board to cluster level, make critical build, buy, and co-design decisions with hardware partners, and author the specifications they will build to. The position involves guiding the platform from initial architecture definition through bring-up, qualification, and fleet deployment, ensuring alignment with product and customer priorities.

$250k - $350k

At voize, we are building AI companions to seamlessly take over digital workflows for frontline workers, giving them more time to care, connect, and be present. Our mission is to amplify human impact through technology, not replace it. Backed by significant funding and trusted by thousands of facilities and hundreds of thousands of users, we combine cutting-edge technology with meaningful social impact. We are looking for a Senior ML Engineer to join our dynamic team and contribute to our mission.

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.

Elastic, the Search AI Company, is seeking a hands-on Full-Stack Senior Software Engineer to join their IT Software Engineering team. This role is a 100% individual contributor position focused on developing internal enterprise-grade applications and AI-powered bots using the Elastic Stack. The team is adopting a "Build and Buy" strategy, leveraging custom solutions to replace third-party software. You will lead the technical design, development, and deployment of full-stack web applications and conversational AI bots, taking complete operational ownership of production systems.

$133k - $253k

Bits Code is Datadog’s cloud coding agent designed to automatically fix problems surfaced by Datadog. In this role, you will shape the architecture, tools, processes, and culture to maintain a very low security risk while actively contributing to the rapid shipment of product features. We operate as a hybrid workplace, valuing office culture for its ability to build relationships, foster creativity, and encourage collaboration, while ensuring employees can achieve work-life harmony.

$192k - $240k

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future physically-actuated devices. The Infrastructure team is central to this mission, building and operating the backbone for training state-of-the-art VLA models, large-scale simulation, and reliable deployment of intelligence across robot fleets. This role involves collaborating closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments.

Code Metal is seeking a Senior Software Engineer for its AI Platform team. This role involves designing, building, and operating the foundational AI enablement stack that powers the company's AI-driven code solutions. You will contribute to critical components such as GPU inference serving, model gateways, agent harnesses, context engineering, observability, and AI experimentation management. While this is an internal platform, it is built to product standards. The position offers the opportunity to eventually own a specific area, like model serving or agentic infrastructure, while also contributing broadly across the stack. The role requires a blend of strong software engineering skills with solid data science and AI research fundamentals, including occasional experimental work to inform platform decisions.

$170k - $210k

Fal

fal is building the generative media ecosystem for the next generation of AI products, providing the infrastructure, tools, and model access needed to move from idea to production at scale. We offer a unified platform for high-performance inference, orchestration, and observability, enabling new categories of AI-native products. As generative media reshapes industries, fal is becoming the foundation for ambitious teams. This role focuses on empowering fal's ML team by developing automation, infrastructure, and developer tooling to streamline the development, testing, and deployment of generative AI models. You will own and enhance CI/CD systems for a growing collection of ML models and inference pipelines, aiming to eliminate manual work, accelerate development cycles, and build reliable systems for confident model shipping and optimization.

$170k - $230k

Databricks

Databricks is seeking a PhD GenAI Research Scientist Intern to join their Mosaic AI organization. This role focuses on pushing the frontier of domain adaptation for Large Language Models (LLMs) and AI systems, enabling them to work effectively within custom enterprise domains. You will tackle open research problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The intern will collaborate with the research team on projects involving adapting, improving, and evaluating existing methods, designing novel domain adaptation techniques, and composing multiple methods for efficient post-training.

$0k - $0k

NVIDIA is seeking a Deep Learning Compiler Engineer to join its Deep Learning Compiler (DLC) team. This role involves developing and optimizing compiler algorithms for deep learning networks, which are crucial for NVIDIA's inference engine across various platforms. The compiler is designed to deliver leading inference performance, fast build times, reduced memory footprints, and ease of use for the global deep learning community. You will collaborate with deep learning software framework and hardware architecture teams to accelerate the next generation of deep learning software, contributing to defining public APIs, performance analysis, and implementing compiler infrastructure techniques.

$152k - $242k