AI Research Engineer Jobs

Sierra

Sierra is seeking an Applied Research Intern to join their team focused on improving the performance, speed, and cost-efficiency of AI agents. This internship offers a unique opportunity to work on a research project from conception to potential publication, with the guidance of a mentor. The intern will tackle real-world AI agent challenges, conduct rigorous experiments, and contribute to advancements in agent evaluation, reasoning, and post-training methods. The role is ideal for individuals passionate about making AI agents more reliable and effective, with the potential for their research to impact millions of users.

Salary not listed

Perplexity AI

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

NVIDIA is seeking an Applied Research Scientist to join its computational engineering applied research team. This role focuses on designing and developing GPU-native numerical methods to enhance the speed, reliability, and usability of engineering simulations across NVIDIA platforms. You will contribute to the numerical foundations for emerging AI-native engineering algorithms by exploring solver algorithms, building research prototypes, and evaluating different approaches. The objective is to rethink traditional CPU algorithms for massive parallelism, hierarchical memory, reduced synchronization, mixed precision, tensor-core computation, and multi-GPU systems, connecting numerical analysis, accelerated computing, software engineering, and AI-native methods.

€121k - €256k

NVIDIA is seeking Senior Deep Learning Scientists to advance their work in streaming and agentic multimodal AI. This role involves developing models capable of reasoning, planning, and acting across diverse modalities, with a focus on defining core algorithmic improvements for multimodal foundation models. You will contribute to high-impact, large language models and multimodal AI products that enhance user experiences, working within the Nemotron LLM team to solve real-world agentic AI challenges.

$184k - $288k

The RL infrastructure team is looking for an engineer to help develop our RL training framework. This role involves designing and implementing the systems that support all RL workloads at SpaceXSI, from small-scale experiments to production training runs. You will be responsible for profiling, debugging, and optimizing the end-to-end training performance, as well as improving the scalability and observability of the RL stack.

$180k - $440k

Fireworks is seeking a Member of Technical Staff on the Research team, designed for individuals completing their PhD who want to see their work deployed in production. This role involves pushing the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will focus on enhancing model efficiency, accuracy, and scalability, directly contributing to our high-performance AI infrastructure. You will be paired with a senior researcher for mentorship and tackle a real research problem from day one, collaborating with experts in deep learning, distributed systems, and optimization. The goal is to see the models you help create deployed by leading companies, often within weeks.

$200k - $300k

Liquid AI, a company spun out of MIT CSAIL, is developing general-purpose AI systems designed for efficient deployment across various targets, from data centers to on-device hardware. They focus on low latency, minimal memory usage, privacy, and reliability, partnering with enterprises in consumer electronics, automotive, life sciences, and financial services. The Pre-Training Data team is central to this mission, responsible for sourcing, filtering, synthesizing, and mixing data that will be used to train Liquid Foundation Models. As public data sources become less effective, the quality of models increasingly relies on purpose-built datasets and understanding the impact of data changes on model performance. This role treats data as a research problem, requiring close collaboration with pre-training researchers to run experiments, answer data-related questions, and build pipelines that feed into training runs.

Salary not listed

NVIDIA is seeking a senior or principal engineer to join the Generalist Embodied Agent Research (GEAR) group, focusing on physics simulation for Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation, contributing to impactful research projects and product roadmaps.

$224k - $357k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack, from supercomputers to Grok models and a suite of applications. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

$180k - $440k

NVIDIA is seeking top research engineers for its Autonomous Vehicles Research team. This role focuses on AI models for autonomous driving, including agent behavior, end-to-end architectures, AI safety, closed-loop training, and AV foundation models. You will conduct fundamental, publishable research while also impacting products and collaborating with teams across various AI applications. The position offers a collaborative and nurturing research environment.

$184k - $357k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

$180k - $440k

NVIDIA is seeking a world-class researcher in generative AI to join our research team. You will conduct original research for generative AI applications, including image, video, 3D, and audio generation. The role involves working with a team of researchers to make significant impacts with generative AI models, building research prototypes, and scaling them with large datasets and compute. After demonstrating the promise of your research, you will collaborate with product teams to integrate your ideas into products.

$192k - $357k

NVIDIA's Seattle Robotics Lab is seeking Research Scientists to contribute to fundamental and applied robotics research across perception, planning, control, and learning. This role involves developing algorithms and models for robotic manipulation and loco-manipulation, integrating them into real-world systems, and engaging with the academic community through publications and code releases. You will collaborate with product managers and engineering teams to transfer research into NVIDIA products and mentor interns. The lab aims to build essential technology enabling companies to become robotics leaders, targeting grand challenges and achieving new capabilities within 2-3 years.

$168k - $265k

NVIDIA is seeking world-class deep learning researchers to build the next generation of AI for graphics and gaming. This role focuses on step-change research that delivers undeniable user experience improvements, driving fundamental AI research into products used by millions. You will conduct cutting-edge research, train advanced models, prototype in real-time engines, and collaborate with product, driver, and hardware teams to bring innovative ideas to market. If you are passionate about deep learning, real-time graphics, and delivering transformative technology directly into games and graphics applications, this is an excellent opportunity.

$168k - $265k

NVIDIA Research is seeking a world-class generative AI researcher to join its fundamental generative AI research team. The team focuses on advancing generative AI methods for scientific applications, including biomolecular design (small molecule, protein, and RNA design), with the goal of creating research that pushes boundaries and has a real-world impact. This role offers the freedom and bandwidth to conduct groundbreaking research within a collaborative team that consistently publishes at top venues in machine learning and AI for science.

$192k - $305k

NVIDIA is seeking an outstanding research scientist to build 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 exploring 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 milestones like Project GR00T, a foundation model for humanoid robots.

$192k - $357k

NVIDIA is developing advanced AI systems capable of perceiving, reasoning about, and generating dynamic worlds. Our team focuses on advancing world foundation models to create high-fidelity, temporally stable video and world generation for applications in Physical AI, simulation, and interactive experiences. This role sits at the intersection of applied research and production, involving the development and validation of model improvements, and their subsequent hardening into production-ready checkpoints and recipes for other teams to utilize. The primary technical focus is on understanding human appearance, motion, and action, with progress measured through rigorous experimentation, diagnostics, and comparative evaluations. Collaboration with data, platform, and product engineering teams is essential to ensure research advancements translate into tangible performance and quality improvements.

$184k - $357k

NVIDIA is seeking a senior or principal engineer to join the Generalist Embodied Agent Research (GEAR) group, focusing on robotics systems. This role is central to Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. You will collaborate with a research team known for its influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, contributing to impactful research projects and product roadmaps.

$184k - $357k

NVIDIA is seeking a Senior Applied Research Scientist with deep quantum computing expertise to pioneer the future of fault-tolerant quantum systems powered by machine learning. This role involves architecting and building AI solutions at the core of quantum error correction, decoding, and calibration. You will research and develop open AI models, curated datasets, and rigorous benchmarks to advance the state of the art and empower the quantum community. Your work will translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, collaborating with multi-functional teams to integrate AI into next-generation Accelerated Quantum Supercomputers.

$192k - $305k

NVIDIA is seeking a Senior Scientist to advance synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem, creating synthetic datasets across text, code, structured, and multimodal data to enhance LLM pre- and post-training. This role blends hands-on software engineering with applied research in generative methods, requiring collaboration with research, engineering, product, and model teams, as well as external labs. The position emphasizes driving software excellence through modern tooling and professional Git/CI-CD practices, and publishing original research to maintain technical leadership.

$168k - $305k

NVIDIA is seeking a Senior Research Engineer passionate about Generative AI inference to help revolutionize how AI is integrated into products and services. Our team is at the forefront of developing optimized inferencing technologies for a wide range of generative AI models, from language to images. We are involved in the entire machine learning lifecycle, from initial concepts and applied research to engineering for optimized inference and final deployment. This role involves close collaboration with research teams, engineers, and the open-source community.

$192k - $357k

NVIDIA is seeking a Senior Research Scientist to conduct groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). This role offers the opportunity to shape the future of chip design through AI and GPU acceleration. You will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques, innovating in EDA software and algorithms with applications spanning supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods. Collaboration with cross-functional teams, the global research community through publications and presentations, and external researchers will be key to translating research into real-world product impact and driving thought leadership.

$192k - $357k

NVIDIA Research is seeking a PhD researcher to conduct groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). This role offers the opportunity to shape the future of chip design, which is being transformed by deep learning and GPU acceleration. We are looking for creative and collaborative individuals interested in tackling new challenges and contributing to a world-class technology employer.

$168k - $265k

NVIDIA's Agentic Cybersecurity Research team is seeking a motivated AI Security Researcher to innovate and enhance the protection of AI models, systems, and infrastructure. This role involves researching and developing advanced technology that secures AI and systems using AI, contributing to globally visible work that drives the frontier of the industry. You will focus on both using AI models and agents to improve cybersecurity and securing AI models and agents themselves.

$168k - $305k