Find your next AI Engineering role

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, from SFT and RL to tool use and agent workflows. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, and the platform our own research team uses to build them. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category. This role will focus on developing the algorithms and systems used to train our open models with reinforcement learning, with opportunities to specialize in RL algorithms, scaling research, or training frameworks.

$150k - $350k

Together AI

This is a unique sourcing role for individuals with a prior engineering background who want to leverage their technical expertise to identify and attract top engineering talent. You will be responsible for proactive outbound sourcing of the top 1% of technical talent in key hubs, evaluating their work, and engaging them through outreach campaigns. The role requires the ability to assess technical skills by reviewing profiles and conducting in-depth technical first calls. You will report to the hiring manager on a small team and have the opportunity to influence the company's technical sourcing and evaluation strategies.

$125k - $190k

Commure is building the AI Operating System for healthcare, transforming the industry's administrative burden with an AI-native platform. Our products span ambient AI for documentation, intelligent agents for workflows, and autonomous revenue cycle management. We are seeking a Senior Engineering Manager to lead the team responsible for the financial core of our revenue cycle product, including the ledger, reporting, and analytics. This role involves managing a team of 6-8 engineers, owning the product roadmap with a product partner, and ensuring financial correctness across the platform. The team is currently undertaking a significant rebuild of its reporting logic and ledger system while maintaining service for existing customers.

$240k - $275k

Salesforce is seeking a Success Architect to join their Cloud Success team, a specialized group within Customer Success focused on providing expert guidance and technical support. This role involves acting as a primary point of contact for customers, addressing both reactive and proactive needs. Success Architects deliver frontline technical support, conduct educational sessions to promote feature adoption, and perform foundational architectural health checks. They collaborate with senior team members to manage complex issues, ensuring customers achieve long-term success by bridging immediate challenges with strategic goals. This position is specifically for US government case support and requires US citizenship.

$123k - $227k

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 24-month rotational fellowship designed to develop the next generation of AI builders. Fellows will tackle real technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale. This program offers hands-on experience across four distinct dimensions of the AI lifecycle: Product Engineering, Product Management, Customer Solution Deployment, and Enterprise Workflow Transformation. The rotational model provides exposure to different AI teams, technologies, and problems, building the technical depth, adaptability, and product mindset needed to become an AI leader. Upon successful completion, Fellows will transition into high-impact AI teams across Salesforce.

$114k - $136k

AI Labs at Salesforce is seeking deeply technical, product-savvy AI architects to evaluate AI technology for potential acquisitions and investments, and to accelerate portfolio companies post-acquisition. These leaders will provide technical depth during M&A diligence and help build common AI capabilities, models, and infrastructure that can be leveraged by acquired companies. The role involves assessing the technical viability of companies, identifying risks and opportunities, and advising on build-vs-buy decisions and the defensibility of underlying technology.

$197k - $365k

Accenture

As a hands-on AI Infrastructure Architect, you will be responsible for designing and optimizing the AI and machine learning infrastructure that powers real-world applications. You will work alongside senior architects and engineers, applying your skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their underlying infrastructure. This role involves architecting and optimizing infrastructure components, writing and reviewing code and deployment scripts, designing and tuning compute resources like GPU clusters and distributed training environments, and deploying AI systems into production. You will also build and optimize data pipelines, monitor system health across InfraOps and MLOps, and troubleshoot complex issues. Additionally, you will mentor junior engineers, contribute to architectural decisions, and help establish best practices, making meaningful contributions to infrastructure that enables AI-driven business outcomes.

NVIDIA is seeking a Senior Software Architect to join the Agent Harness & Runtime Engineering team. This role focuses on building foundational systems for the next generation of agentic AI, operating at the intersection of AI and systems engineering. You will tackle challenges across agent runtimes, inference, evaluation, and large-scale execution, translating rapidly evolving AI capabilities into scalable, production-quality systems. The ideal candidate will possess AI breadth to understand emerging problems, systems depth to architect solutions at scale, and engineering strength to build them.

$224k - $431k

We are seeking a Senior Power Architecture & Optimization Engineer to advance energy efficiency through sophisticated analytics and AI, including specialized LLMs for power analysis. This role is central to NVIDIA's mission of creating the most energy-efficient GPUs and SoCs, leveraging AI and LLMs as a key differentiator for future products. You will combine expertise in power architecture with machine learning, reinforcement learning, data analytics, and large language models to innovate in modeling, analyzing, and optimizing energy consumption across various design levels.

$136k - $265k

NVIDIA is seeking a Principal Engineer to lead critical platform initiatives at the intersection of information security, enterprise collaboration, and AI. This role is pivotal in shaping how NVIDIA protects sensitive content, manages enterprise data access, and enables next-generation AI agents at scale. The platforms encompass sensitive information protection, a central data governance layer for enterprise content, and an AI knowledge platform for reliable AI agent consumption. The focus is on access control, export-control enforcement, and production readiness. This is a high-impact individual contributor role with potential for engineering leadership and management, requiring strong technical skills and the ability to influence stakeholders across Security, Legal, Finance, and AI teams.

NVIDIA is seeking a Senior Machine Learning Engineer to join its prediction team for autonomous driving solutions. This role involves developing and productizing cutting-edge prediction modules responsible for generating multi-modal scene-consistent predictions for road participants. The engineer will focus on enhancing the robustness, accuracy, and efficiency of these solutions to enable autonomous driving in diverse environments and conditions. The position offers the opportunity to work on state-of-the-art ML techniques and contribute to the future of autonomous driving.

$224k - $357k

NVIDIA is seeking a passionate Senior Perception Software Engineer to design, develop, and productize autonomous driving solutions. As a member of the perception team, you will build world-class perception solutions, designing and implementing software components. You will be challenged to improve the robustness, efficiency, and reusability of these components, working closely with experienced perception engineers and researchers. This role involves executing the full software development lifecycle, writing well-designed, testable code, and integrating perception software into a functional system. You will also develop verification plans, document and maintain software functionality, and debug existing systems, ensuring alignment with project plans and industry standards. A key aspect of the role is deploying state-of-the-art perception DNN models to embedded platforms and analyzing system performance using benchmark data.

$224k - $357k

NVIDIA is seeking a Senior High Performance AI Engineer to develop groundbreaking multi-agent systems within the CUDA ecosystem. This role involves building innovative agentic runtimes and compiler-integrated orchestration that leverage NVIDIA's software stack to accelerate modern agent workloads powered by foundational models. You will contribute to new agent abstractions, GPU-centric runtimes, and system solutions that enhance agent planning, tool-use, and code generation. The position requires close collaboration with internal NVIDIA software and hardware teams to integrate cutting-edge developments into NVIDIA products.

$184k - $357k

NVIDIA is seeking an AI Hardware Architect to design and analyze the next generation of Artificial Intelligence hardware, focusing on building innovative AI chips and chiplets for the AI infrastructure market. This role involves understanding computer architecture, microarchitecture, and chip design, with opportunities for continuous learning and growth. You will work on groundbreaking GPU and CPU systems, identify areas for improvement, and study the architectural implications of AI applications and models running on NVIDIA hardware.

$184k - $357k

As a Robotics Software Engineer on the Isaac Applications Team, you will integrate software and hardware to enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents, connecting data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We are looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

$184k - $357k

Our KnowledgeOps team is responsible for the information architecture and quality standards for Omniverse, Isaac Sim, and OpenUSD documentation. This role involves building the automation, pipelines, and AI-ready infrastructure to apply these standards at scale. You will collaborate with documentation leads to refine the architecture based on your learnings and work with AI agents that increasingly sit between developers, partners, internal teams, and our documentation. The ideal candidate is a writer who also builds, comfortable with tools like Git, CI, and Python, and fluent with LLMs in daily work. The goal is to transform documentation, standards, and tribal knowledge into tooling, templates, and self-service paths, reducing the need for repetitive questions.

$144k - $276k

NVIDIA is building GeForce G-Assist, an on-device AI assistant that integrates Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities for responsive, context-aware assistance within the GeForce ecosystem. This role involves close collaboration across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. The focus is on production model behavior rather than just benchmarks, with an emphasis on accuracy, robustness, and conversational reliability. The team works with SLM and VLM architectures, hybrid cloud/local model architectures, and optimizes local inference for performance.

$152k - $288k

We are seeking a Senior Engineer to design, build, and scale the infrastructure that powers NVIDIA's AI agent ecosystem. This role sits at the intersection of distributed systems, developer platforms, and agentic AI, focusing on building foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. You will be instrumental in creating the core platform that supports the full agent lifecycle, from registration to teardown, ensuring robust and scalable operations.

$200k - $391k

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

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

NVIDIA is seeking a highly motivated senior software engineer to join its communication libraries and network software team. This role involves developing and maintaining software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. You will be instrumental in designing and implementing highly-optimized communication runtimes and system software that enables interactions among GPUs and with other system components, contributing to the advancement of AI and HPC.

$152k - $288k

NVIDIA is seeking a motivated Performance Engineer to join our GPU Communications Libraries and Networking team. This role involves influencing the roadmap of communication libraries that are critical for Deep Learning and High Performance Computing applications running on massive GPU clusters. You will analyze and optimize communication performance between GPUs, which directly impacts end-to-end application performance at scale. This is an excellent opportunity to advance the state of the art in GPU communication and contribute to NVIDIA's innovative technologies.

$152k - $288k

SigNoz is seeking a Developer Relations Engineer to be the face of their open-source observability platform in the Bay Area. This role involves engaging with customers and the engineering community to share compelling stories about how SigNoz helps debug and scale production systems, particularly in the context of AI agents. You will be responsible for identifying customers with interesting use cases, creating technical content like videos and case studies, and representing SigNoz at meetups, conferences, and events. This is a hands-on role with the potential to build and lead a US DevRel team.

$150k - $220k

Abridge

Abridge is seeking Software Engineering Interns for a 3-month program with the possibility of extension. Interns will collaborate with the engineering team to build and ship real-world features, translating language model capabilities into dependable clinical systems. This role offers hands-on experience in designing, coding, and releasing AI-powered software that impacts clinicians' workflows, with mentorship and guidance provided.

Our Internal Acceleration team is seeking a Research Engineer to build agents that accelerate the production of frontier tokens. You will collaborate directly with founders and embed with the production team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role involves working on harnesses, tool use, context, memory, execution environments, and evaluation frameworks to enable agents to perform long-running, useful engineering tasks. We are looking for individuals who thrive in ambiguous environments, possess strong product sense, and are eager to own problems end-to-end, viewing this as an opportunity to shape future ventures. The work is time-sensitive and business-critical, demanding dedication beyond a standard 9-5 schedule.

$150k - $400k

Our Internal Acceleration team is building agents to speed up the production of frontier tokens. You will collaborate directly with founders and embed with our special projects team to develop new agentic harnesses and operating systems, fundamentally changing how hardware is built in an AI-native world. Your success will be measured by the acceleration of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguous environments, possess strong product intuition, and are eager to own problems from inception to completion. It's a dynamic, time-sensitive, and business-critical position that requires dedication beyond a standard 9-5.

$150k - $400k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k

Blee is seeking an Applied Scientist to specialize in agent system design, focusing on architecting and implementing the next generation of intelligent compliance systems. This role involves designing frameworks where multiple agents, powered by custom and foundational models, collaborate to identify, track, and explain compliance flags. You will also be responsible for building and optimizing applied AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and training models based on user feedback to deliver more targeted compliance recommendations.

$150k - $275k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our kernels team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role focuses on harnesses, tool use, context, memory, execution environments, and evaluations that enable agents to perform long-running, useful engineering work. We seek engineers who thrive in ambiguity, possess strong product sense, and are eager to own problems end-to-end, understanding that this is a time-sensitive and business-critical role that may not adhere to a 9-5 schedule.

$150k - $400k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our kernels team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Your success will be measured by the speed of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguity, possess strong product sense, and want end-to-end ownership of critical, time-sensitive problems. This is not a 9-5 role, and we seek candidates excited by that challenge.

$150k - $400k

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

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

Anthropic

As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native startups in the physical world, spanning robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will guide these companies from early product stages to scale, helping them integrate Claude into their product design, testing, and operations. This role involves leading deep technical engagements, partnering directly with startup software and hardware engineering teams to build their products on Claude and leverage it for their own engineering processes. You will bridge the gap between Claude's capabilities and the practicalities of building real-world physical systems, working alongside top teams on impactful problems and enabling mechanical, electrical, and process engineers to achieve significant advancements.

$280k - $320k

Anthropic

As an Applied AI Engineer on the Startups team at Anthropic, you will serve as a trusted technical advisor to leading AI-native life sciences and biotech startups, guiding them from early product development to scaling. You will partner directly with startup engineering and scientific teams to help them build products on Claude and integrate it into their research workflows. This role involves bridging the gap between Claude's capabilities and the specific needs of the life sciences, pushing the boundaries of AI in scientific discovery. You will collaborate with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams to enable startups to build at the forefront of AI in life sciences, developing custom evaluation frameworks, scalable architectures, and essential technical resources.

$280k - $320k

Nous is seeking a Data Engineer to build and own the data pipelines that power our analytics and model training. This role focuses on managing large-scale, long-horizon agentic data, transforming millions of multi-step, tool-conditioned interactions into reliable datasets for company-wide use. The position is open to candidates in any time zone with significant overlap with US working hours.