MPI Jobs

MPI, or Message Passing Interface, is a standard for exchanging data among processes in distributed-memory parallel systems. Engineers use MPI to develop and optimise high-performance computing, scientific simulation and distributed AI workloads across clusters.

Browse 39 open MPI jobs from 4 companies including Nvidia and OpenAI. Popular hiring locations include Santa Clara, United States, and San Francisco.

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MPI Salary Ranges

Pay is quoted per market: the same role is worth several times more in one city than in another, so a single figure spanning countries would describe none of them. 39 of these 39 listings publish a salary. Markets with fewer than 8 disclosed salaries are not shown.

Median yearly pay by country, each in the currency named in its own row

Country Median Middle 50% Currency Listings
United States $270,000 $224,000 – $270,000 USD 38

Median yearly pay by metro, each in the currency named in its own row

Metro Median Middle 50% Currency Listings
Santa Clara, United States $270,000 $245,000 – $270,000 USD 31

Seniority and Work Setup for MPI Roles

Jobs by seniority; the bar is its share of 39 MPI jobs
Middle
8% — 3 of 39 MPI jobs
Senior
95% — 37 of 39 MPI jobs

A role can be open to more than one level, so the shares add up to more than 100%.

Jobs by work arrangement; the bar is its share of 39 MPI jobs
Remote
8% — 3 of 39 MPI jobs
Hybrid
21% — 8 of 39 MPI jobs
On-site
72% — 28 of 39 MPI jobs

2 offer relocation assistance.

Skills Commonly Paired with MPI

Jobs by skill; the bar is its share of 39 MPI jobs
AI
92% — 36 of 39 MPI jobs
GPU
87% — 34 of 39 MPI jobs
CUDA
82% — 32 of 39 MPI jobs
HPC
64% — 25 of 39 MPI jobs
Python
56% — 22 of 39 MPI jobs
Algorithms
49% — 19 of 39 MPI jobs
Deep Learning
49% — 19 of 39 MPI jobs
NCCL
49% — 19 of 39 MPI jobs

Top Companies Hiring for MPI

Employers with the most open MPI jobs

Company Open jobs
Nvidia 35
OpenAI 2

Where MPI Jobs Are Located

Where these MPI jobs are based

Location Open jobs
Santa Clara, United States 31
United States 4
San Francisco, United States 2

39 Open MPI Jobs

Senior Solution Engineer, Networking at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 168,000-322,000 per year
✅ On-site
AI @ 4 CUDA @ 4 Communication @ 6 Customer Support Debugging @ 7 GPU HPC @ 4 InfiniBand @ 4 Linux @ 6 MPI @ 4 NCCL @ 4 NVLink Networking @ 4 Python @ 4
Senior System Software Engineer - Scientific Computing PaaS at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 184,000-356,500 per year
✅ On-site
AI @ 4 API Algorithms @ 6 Cloud Computing @ 7 Communication @ 6 Debugging @ 4 Deep Learning Distributed Systems @ 8 GPU Go @ 6 HPC @ 4 MPI @ 6 Microservices NCCL @ 6 Networking @ 4 Rust @ 6 Security @ 7
Senior DevTech Compute Engineer, Compression and Data Processing at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 184,000-356,500 per year
✅ Hybrid
Algorithms @ 6 CUDA @ 4 Communication @ 6 Data Analysis @ 6 Data Structures @ 6 ETL @ 6 GPU @ 4 MPI @ 4 Mathematics @ 4 Networking @ 6 Parallel Programming @ 4 Prioritization @ 4 Vector Databases
Senior Software Solutions Engineer at Nvidia logo Nvidia SENIOR
📍 Poland
💰 PLN 230,200-487,500 per year
✅ Remote
BGP @ 4 Communication @ 4 Customer Support Deep Learning @ 4 HPC @ 3 InfiniBand @ 3 Kubernetes @ 7 Linux @ 7 MPI @ 3 Networking @ 4 Software Development @ 7
Senior Solution Engineer, Networking at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 168,000-322,000 per year
✅ On-site
AI @ 4 CUDA @ 4 Communication @ 6 Customer Support Debugging HPC @ 4 InfiniBand @ 4 Linux @ 7 MPI @ 4 NCCL @ 4 NVLink Networking @ 4 Python @ 4 Software Development @ 4
Senior Developer Technology Engineer, High-Performance Databases at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 152,000-287,500 per year
✅ Hybrid
AI Algorithms @ 7 CUDA @ 4 Communication @ 7 ETL @ 6 GPU @ 6 MPI @ 4 Networking @ 6 Parallel Programming @ 4 Prioritization @ 7 Spark @ 4
Senior Software Engineer, CUDA Deep Learning Systems at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 184,000-356,500 per year
✅ On-site
AI @ 4 Agentic AI @ 4 Algorithms CUDA @ 4 Communication @ 4 Deep Learning @ 4 GPU @ 3 GenAI Generative AI @ 4 JAX @ 6 LLM MPI @ 4 Machine Learning @ 4 NCCL @ 4 Performance Optimization @ 4 Profiling @ 4 PyTorch @ 6 Python @ 7 SGLang @ 6 TensorRT @ 6 vLLM @ 6
Software Engineer, CUDA Deep Learning Systems at Nvidia logo Nvidia MIDDLE SENIOR
📍 Santa Clara, United States
💰 USD 124,000-195,500 per year
✅ On-site
AI @ 3 Agentic AI @ 3 Algorithms CUDA @ 3 Communication @ 3 Deep Learning @ 3 GPU GenAI Generative AI @ 3 JAX @ 3 LLM MPI @ 3 Machine Learning @ 3 NCCL @ 3 Performance Optimization @ 3 Profiling @ 2 PyTorch @ 3 Python @ 6 SGLang @ 3 TensorRT @ 3 vLLM @ 3
Senior Technical Marketing Engineer - CAE Performance at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 136,000-253,000 per year
✅ On-site
AI Communication @ 7 GPU @ 7 HPC @ 4 Linux @ 4 MPI @ 4 Marketing Profiling Slurm @ 4
HPC Performance Engineer at Nvidia logo Nvidia SENIOR
📍 United States
💰 USD 152,000-241,500 per year
✅ Remote
AI CUDA @ 4 Communication @ 6 Debugging @ 4 GPU HPC MPI @ 4 Performance Analysis @ 7 Prioritization @ 6
Senior Deep Learning Systems Architect at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 224,000-356,500 per year
✅ On-site
AI @ 4 Algorithms CUDA @ 1 Deep Learning @ 4 GPU @ 1 HPC JAX @ 6 MPI @ 1 Machine Learning @ 7 OpenCL @ 1 Performance Analysis @ 6 PyTorch @ 6 Python @ 6 TensorFlow @ 6
HPC Middleware Developer at Nvidia logo Nvidia SENIOR
📍 Santa Clara, United States
💰 USD 152,000-287,500 per year
✅ On-site
AI API Algorithms Cloud Computing HPC InfiniBand @ 7 Linux @ 6 MPI @ 4 Machine Learning Mathematics @ 4 Networking @ 7 Performance Optimization @ 4

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