Machine Learning Engineer Jobs

The DL Performance Modeling Team is seeking a Deep Learning Software Engineer to develop full-stack simulation infrastructure for deep learning applications across various GPUs. This role involves collaborating with cross-functional teams to shape the roadmap for DL hardware and software, and to rapidly assess new AI-accelerating GPU hardware and software advancements through simulation.

$152k - $288k

We are building the software infrastructure for the next era of scientific discovery, believing that AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make this possible. This role involves translating complex research into software that scientists use for real discovery, working across research, engineering, and product teams. You will translate learnings from research collaborations into feedback on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics.

$140k - $270k

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

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 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 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 Machine Learning Engineer to join the GPU accelerated Apache Spark team. This role involves working with the open-source community to enhance Apache Spark's performance and cost-efficiency on NVIDIA GPUs, enabling enterprises to scale their Spark workloads. You will apply advanced ML/AI techniques to optimize these large-scale data processing applications.

$224k - $357k

NVIDIA is seeking a Senior Software Engineer to specialize in Deep Learning Inference. This role involves designing, building, and optimizing GPU-accelerated software for AI applications, focusing on high-performance deep learning frameworks like SGLang and vLLM for efficient large-scale model serving and inference. You will contribute to improving these platforms, enabling the smooth deployment of advanced language models and working with the deep learning community to implement and release the latest algorithms. The work will concentrate on enhancing the performance of state-of-the-art LLM and Generative AI models across various NVIDIA accelerators, utilizing open-source tools and kernels for optimization.

$184k - $357k

NVIDIA is seeking a scientist at the intersection of quantum device physics, quantum calibration, and machine learning to help accelerate the quantum ecosystem. This role will focus on designing and building real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks for the quantum community. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing, spanning synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers.

$192k - $305k

We are seeking senior engineers to contribute to the CUDA driver, a fundamental component for accelerating general-purpose computation on GPUs. This role involves enhancing features and improving performance to maximize NVIDIA hardware potential across diverse workloads, including deep learning, scientific computation, gaming, and virtual reality. The position requires strong system software programming, a deep understanding of operating systems and kernel programming, hardware architecture, and excellent communication skills. You will collaborate with hardware and software engineers to design, develop, debug, and deploy critical aspects of NVIDIA hardware and mobile system-on-chip devices. The work spans the entire development lifecycle, from design feedback and pre-silicon simulation to silicon bring-up and production software deployment.

$152k - $288k

NVIDIA is seeking a senior applications engineer with a background in material science codes to accelerate AI-driven simulations for materials discovery. This role will contribute to the development of NVIDIA ALCHEMI, a key software pillar for the next era of scientific discovery, bridging traditional simulations and AI surrogates. You will transform cutting-edge research into practical software tools for scientists, working collaboratively across research, engineering, and product teams.

$168k - $322k

NVIDIA is at the forefront of the AI revolution, exploring the next frontier of Physical AI, which involves machines that can perceive, reason about, and act within the three-dimensional world. The NVIDIA Cosmos platform provides open foundation models for Physical AI, designed to interpret images, video, and text to create a structured understanding of physical scenes, including motion, object interactions, geometry, and physical context. These models serve as the reasoning layer for robots, autonomous vehicles, and smart infrastructure. The Cosmos Engineering team is responsible for developing the core capabilities behind these models and is seeking a Senior Deep Learning Engineer to lead the data engine and end-to-end training verification for 3D spatial reasoning and perception. This role involves ensuring models accurately learn and represent 3D spatial concepts, working closely with research scientists to translate hypotheses into measurable capabilities in shipped models, and focusing on the critical role of data and evaluations in achieving frontier model quality.

Salary not listed

We are seeking a skilled engineer to join our Autonomous Vehicles team, focusing on the L3/L4 autonomous-driving solution. You will be instrumental in developing a comprehensive, learned 3D/4D world model by fusing navigation, ego-motion, perception, and sensor signals. This role involves close collaboration with perception, prediction, planning, and simulation teams to create a world representation that is complete, temporally consistent, uncertainty-aware, and robust for challenging driving scenarios. Our vision is to develop a shared multimodal scene representation that supports road understanding, 3D object perception, motion prediction, and planning, aiming to achieve human-level AI for navigation in unconstrained environments.

Salary not listed

NVIDIA is seeking a leader in AI-enabled drug discovery science to coordinate research and development efforts. This role bridges RNA therapeutics, experimental data generation, computational modeling, and translational science. The ideal candidate is a hands-on researcher experienced in guiding scientific teams, making technical trade-offs, and ensuring alignment across experimental, data, model, and compute activities. You will be responsible for converting scientific objectives into executable plans, leading workstreams in data curation, machine learning, and platform engineering, and guiding closed-loop learning processes. This position requires establishing robust science-stream governance and providing clear reporting on progress, dependencies, and risks to program leadership.

$224k - $431k

NVIDIA is seeking an outstanding individual to join our platform SWQA team as a Platform Software Validation Engineer (SDET). This role involves developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, covering servers, OS, firmware, and CUDA software stacks. You will be responsible for installing and testing various systems, OS, server firmware, and software stacks, and driving root cause analysis for reliability and validation test failures. The position requires building and developing server and OS level automation frameworks and tests, reviewing partner and supplier test results, and managing the bug lifecycle within an agile development team.

$140k - $270k

NVIDIA is seeking a dedicated and creative Security Engineer to join our GPU System Software team. In this role, you will be instrumental in developing mitigations, conducting security research, and building advanced security platforms and frameworks to identify vulnerabilities in complex systems software. This is an exceptional opportunity to contribute to the security of foundational technologies in gaming, professional graphics, and cloud computing, as well as AI, data centers, and healthcare. You will be part of an inclusive team focused on maintaining an industry-leading security posture for groundbreaking products.

$152k - $288k

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. You will help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join a technically diverse team of infrastructure experts to unlock more efficient AI at scale.

$224k - $431k

Join NVIDIA's CAD Infrastructure team to build a next-generation software platform for semiconductor design. This role involves applying innovative graph neural network infrastructure to process massive graphs and contributing to every phase from architecture to implementation. You will compose the future of computing and make a lasting impact on the world by developing advanced tools and systems.

$168k - $311k

NVIDIA is seeking a Principal Perception Engineer to lead the design and productization of next-generation autonomous driving perception stacks. This senior individual contributor role involves setting technical direction for 3D obstacle perception, driving cross-functional execution, and mentoring engineers. The role requires deep hands-on involvement in architecture, algorithms, and implementation, with a focus on modern transformer-based, multi-modal, and vision-language techniques. The goal is to build intelligent machines that can perceive, reason, and solve complex problems using GPU-accelerated deep learning.

$272k - $431k

NVIDIA is seeking a Senior Perception Engineer to design and productize the next generation of autonomous driving perception systems. This role focuses on the core 3D obstacle perception pipeline, involving architecture and algorithm design, with a hands-on approach to implementation using modern transformer-based, multi-modal, and vision-language techniques. You will contribute to the development of state-of-the-art deep learning models for obstacle detection and tracking, leveraging multi-camera and multi-sensor fusion. The position requires defining objectives, prototyping architectures, running experiments, and adhering to best practices for training and evaluation, including techniques like large-scale pretraining and parameter-efficient fine-tuning. You will also help define and maintain performance metrics, analyze large datasets to identify failure modes, and contribute to the data strategy for perception, including model-assisted workflows and model-in-the-loop tooling. Collaboration with safety, systems, and software teams is essential to ensure solutions meet product requirements for safety, latency, resource usage, and robustness for large-scale deployment.

$184k - $357k

NVIDIA is seeking a Senior Radar Perception Engineer to contribute to the design and productization of their next-generation autonomous driving perception stack. This role involves working on the core 3D radar and multi-modal obstacle perception pipeline, focusing on architecture and algorithm design. The engineer will be hands-on with implementation, including modern transformer-based, radar-centric foundation models, and multi-sensor fusion techniques.

$224k - $357k

NVIDIA is seeking a Senior Applied Power Architect to join our Applied Power Architecture team. You will be instrumental in developing state-of-the-art GPUs for AI, Automotive, GeForce, and Mobile products. This role involves inventing methodologies, features, and techniques to tackle electrical, speed, and power challenges for next-generation AI architectures. You will drive power management initiatives to optimize efficiency and performance while adhering to electrical, thermal, and power constraints. The position requires a deep understanding of process characteristics and their impact on voltage-frequency (V-F) tradeoffs, as well as investigating multi-die technologies and proposing innovative solutions for packaging, interconnect, physical design, electrical, and thermal challenges. Collaboration with cross-functional teams, including ASIC designers and packaging experts, is essential for formulating effective solutions.

$168k - $311k

NVIDIA's Math Libraries team is seeking a senior engineer to contribute to kernel generation for AI and HPC, focusing on matrix operations, JITing, and fusions. This role involves developing GPU-accelerated mathematical libraries that power advancements in AI, scientific simulations, and data analytics across various industries. You will be instrumental in enabling leading organizations to revolutionize fields like healthcare, NLP, VR, and autonomous vehicles.

$184k - $357k

NVIDIA is at the forefront of visual and AI computing, driven by our pioneering work with GPUs. We are seeking a GPU PCIe and Boot Architect to join our team and design the architecture and infrastructure for critical system functions including boot, PCIe/CXL enumeration, and capability discovery. This role involves collaborating with global software, hardware, and verification teams to shape the next generation of GPUs, creating functional and performance models, and supporting post-silicon validation. If you are creative, autonomous, and passionate about building the industry's highest-performance chips, we encourage you to apply.

$108k - $196k