Senior Machine Learning Engineer, Cosmos Engineering
$184,000 - $356,500 USD yearly
Build physical AI perception and video analytics solutions powered by Cosmos, NVIDIA's world foundation model platform.
Originally posted 17 August 2026 by the employer. Relisted by the employer on 30 October 2026.
About the role
This role delivers Metropolis AI solutions powered by Cosmos, NVIDIA's world foundation model platform, to address perception and physical AI challenges.
What you'll do
- Build and deliver Metropolis AI solutions powered by Cosmos world foundation models for intelligent video analytics, perception, and physical AI.
- Identify where Cosmos models underperform or lack capability, and implement solutions involving synthetic data generation, tuning methods, and architectural refinements.
- Partner with the Cosmos team to identify and prioritize platform features aligned with the Metropolis product roadmap.
- Lead the open-sourcing of solutions and research artifacts developed by the team.
- Track advances in foundation models, generative architectures, and training methodologies to integrate relevant techniques.
- Collaborate cross-functionally with Product, Program, Engineering, and Data Procurement teams to maintain execution alignment.
What you'll need
- MSc or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
- 8+ years of experience in applied machine learning or AI research.
- Expertise in deep learning fundamentals, with hands-on experience in diffusion models and generative architectures.
- Experience pre-training or refining large language models (LLMs), vision-language models (VLMs), or world foundation models (WFMs).
- Experience with training workflows, fine-tuning techniques, and evaluation approaches for large-scale foundation models.
- Experience working with simulation environments such as Isaac Sim or similar platforms.
- End-to-end understanding of the ML development and deployment life cycle.
Skills: Metropolis solutions, Cosmos, world foundation model platform, generative AI, simulation, large-scale model development
More semiconductor jobs: NVIDIA jobs · AI chip design jobs · California jobs
This role has been open 72 days — well below the 90-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
490
|
Median days open
90 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (490 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 91 | 490 |
| Open roles in the wider Software, Firmware & Systems family | 1009 | 6268 · 144 employers |
| Median days open | 65 d | 90 d (−25 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Metropolis solutions, Cosmos, world foundation model platform, generative AI, simulation, large-scale model development
Who's hiring in this category
- Qualcomm · 95 open roles · median 121 d
- NVIDIA (this employer) · 88 open roles · median 65 d
- AMD · 32 open roles · median 113 d
- Micron Technology · 20 open roles · median 85 d
- Mobileye · 19 open roles · median 88 d
- Analog Devices · 15 open roles · median 48 d
How we counted: 490 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 30 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.