Lead advanced statistical methodology development and application for drug development lifecycle, building reusable tools and collaborating across functions.
Compensation
This position's reasonably anticipated salary range is $125,600 - $164,900 per year.
Responsibilities
Develop and apply advanced computational and statistical methods, including machine learning, AI, and scenario evaluation
Build robust, well-engineered, reusable tools and workflows
Bring a quantitative lens to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches
Partner with statisticians and cross-functional colleagues to translate complex approaches into clear insight
Contribute to internal capability building by sharing tools, code, and methods
Requirements
Doctoral degree in statistics, biostatistics, mathematics, computer science or a closely related discipline
Lead closed-loop simulation for robotics, autonomy, perception, planning, controls, and machine systems, bridging virtual environments with production robotics software and physical-machine testing.
Compensation
$147,760.00 - $240,110.00
Responsibilities
Define the technical architecture for robotics and Physical AI simulation.
Build closed-loop environments for autonomous and semi-autonomous machines.
Lead Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop strategies.
Lead research and engineering projects in reinforcement learning for vision‑language models, advancing multimodal reasoning and visual understanding.
Locations (3)
Mountain View, California, United States
Redmond, Washington, United States
New York City, New York, United States
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Advance visual understanding and multimodal reasoning through reinforcement learning, translating capability gaps into concrete research hypotheses and measurable improvements.
Research Scientist Intern, Synthetic Data for Computer Use Agents (PhD)
Looking for post-training researchers and engineers to contribute to synthetic data, RL environments, and evaluation to close the loop between AI models and hardware chips.
Responsibilities
Design and iterate on SFT and RL recipes for large-scale models, with a focus on compute efficiency and steep, stable RL climbs.
Build and scale synthetic data pipelines, including generation, quality filtering, and coverage metrics.
Create long-horizon synthetic environments and task curricula for agentic coding and reasoning.
Make RL stable at scale through careful recipe and stability work.
Build evaluations that track agentic capability, catch regressions, and drive recipe decisions.
Requirements
Degree in CS, EE, math, or a related field, or equivalent practical experience
Nice to have: Research track record in RL, NLP, or machine learning
Nice to have: publications at NeurIPS, ICML, ICLR, or COLM
Nice to have: Experience building RL environments for complex frontier coding and agentic benchmarks
Nice to have: Shipped result: post-training run, data recipe, model release, or research outcome
Lead and scale developer programs for NVIDIA’s AI and computing platforms in Retail & CPG environments.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
Responsibilities
Develop and maintain technical knowledge in Retail & CPG intelligent stores and Physical AI
Serve as trusted technical advisor and champion for the developer ecosystem
Accelerate critical workloads by demonstrating and integrating NVIDIA software stack into partner products
Guide partners through onboarding and integration with technical resources
Assess developer ecosystem to identify emerging opportunities
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field
Develop targeted training tasks and data, including synthetic data, to address these gaps.
Design and validate rewards, verifiers, rubrics, and model‑based judges for both verifiable and open‑ended visual tasks, detecting and mitigating reward hacking.
Build evaluations and conduct controlled experiments, ablations, and detailed failure analysis.
Collaborate with scaling, multimodal, data, and safety teams to integrate improvements while preserving broader model capabilities.
Requirements
Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field
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