Full-Time

Senior Solutions Architect

Robotics Simulation

Posted on 9/11/2026

Deadline 9/15/26
NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$152k - $287.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Hybrid

Bachelor's, Master's, PhD

Category
Solution Engineering (1)
Required Skills
Python
Machine Learning
REST APIs
C/C++
Reinforcement Learning

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Requirements
  • A BS, MS, PhD, or equivalent experience in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
  • At least 5 years of hands-on experience building robotics simulation applications.
  • Deep expertise with robotics simulation platforms such as Isaac Sim, MuJoCo, Gazebo, or Drake, and core simulation domains including physics, large-scale rendering, sensor modeling, or robot rigging.
  • Familiarity with ROS 2 and robotics description formats such as OpenUSD, URDF, or MJCF.
  • Proficiency in Python or C++, with experience integrating application programming interfaces and distributed software systems.
  • Understanding of GPU-accelerated computing and its application to robotics simulation and machine learning workflows.
  • Excellent communication and collaboration skills, with the ability to tackle complex problems alongside diverse audiences.
Responsibilities
  • Work with robotics partners to adopt, extend, and scale NVIDIA’s simulation technologies.
  • Build and optimize workflows spanning robot rigging, rigid- and deformable-body physics, multi-solver integration, rendering, sensor simulation, and synthetic data generation.
  • Diagnose integration and performance bottlenecks across simulation, rendering, data movement, accelerated computing, and large-scale workloads.
  • Lead technical evaluations, proofs of concept, workshops, and reference implementations that accelerate platform adoption.
  • Validate emerging approaches with partners, including hybrid methods combining physics-based simulation with neural models, and apply them to learned-policy workflows and sim-to-real deployment.
  • Collaborate with NVIDIA Engineering, Product, and business teams to translate ecosystem needs into product feedback, roadmap priorities, and reusable guidelines.
Desired Qualifications
  • Hands-on knowledge of NVIDIA simulation technologies such as Isaac Sim, Newton, PhysX, RTX, or NVIDIA Warp.
  • Previous work with Isaac Lab, large-scale reinforcement learning, data generation, or video and data reconstruction pipelines.
  • Industrial manipulation background spanning grasping, perception-guided motion planning, force and impedance control, learned approaches such as reinforcement learning and imitation learning, virtual controller integration, and contact-rich manipulation simulations.
  • Familiarity with simulation-to-real techniques, including system identification, domain randomization, calibration, and validation on real hardware.
  • A track record of working with robotics companies, researchers, or developers to bring new technologies into production.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • August 2026 revenue hit $96.2 billion; data center revenue reached $89.0 billion.
  • Management guided Q3 fiscal 2027 revenue to $108 billion, showing relentless demand.
  • NAVER, Brookfield, and Nvidia expanded Korea’s AI factory to 200 megawatts in July 2026.

What critics are saying

  • Taiwan indicted nine people on August 24, 2026 for illegal Nvidia chip exports to China.
  • Memory costs cut Q3 gross margin guidance to 71%-72%, pressuring profitability in 2026.
  • China export controls can erase a major market if Washington tightens rules further.

What makes NVIDIA unique

  • CUDA, Blackwell, and Nemotron lock developers into Nvidia’s full-stack AI ecosystem.
  • AWS and Nvidia announced 2 million additional GPUs for 2027-2028, deepening platform dependence.
  • NVIDIA DSX combines chips, software, and facilities for sovereign AI factories.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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Fortune
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