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Mpi Developer Jobs in California (NOW HIRING)

Quality Engineer

Newark, CA · On-site

$75K - $95K/yr

Quality Engineer Location: Newark, CA Job Function: Quality Assurance Engineering Job Summary: The ... Primary Job Responsibilities: 1. Customer Requirement & MPI Approval * Review Customer requirement ...

McWane Inc. has a newly created division, McWane Plant and Industrial (MPI). This new division ... We will make it easier to engineer, specify, and order components for plants. We will provide ...

McWane Inc. has a newly created division, McWane Plant and Industrial (MPI). This new division ... We will make it easier to engineer, specify, and order components for plants. We will provide ...

McWane Inc. has a newly created division, McWane Plant and Industrial (MPI). This new division ... We will make it easier to engineer, specify, and order components for plants. We will provide ...

McWane Inc. has a newly created division, McWane Plant and Industrial (MPI). This new division ... We will make it easier to engineer, specify, and order components for plants. We will provide ...

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$143K - $189K/yr

UCX for MPI/OpenSHMEM) on GPU clusters. • Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. • Design, implement and maintain system software ...

Senior Software Engineer, HPC DevOps

El Segundo, CA · On-site

$130K - $172K/yr

... to support developer productivity, high performance compute infrastructure, and scientific ... Triage inbound infrastructure requests, HPC/MPI/Linux debugging, and job failure analysis ...

Principal Software Engineer, HPC DevOps

El Segundo, CA · On-site

$143K - $192K/yr

... own developer productivity, high performance compute infrastructure, and scientific computing ... Triage inbound infrastructure requests, HPC/MPI/Linux debugging, job failure analysis, and shell ...

SMT Programmer

San Jose, CA · On-site

$37 - $39/hr

A Surface Mount Technology (SMT) Programmer will be mainly responsible to create, update and ... You will ensure all programs are up to date according to MPI (Manufacturing Process Instruction ...

Showing results 21-40

Mpi Developer information

What is an MPI developer?

MPI developers are software engineers or programmers who specialize in using the Message Passing Interface (MPI) standard to create parallel applications, primarily for high-performance computing (HPC) environments. They design, implement, and optimize code that allows multiple computers or processors to work together efficiently by communicating and sharing data. MPI developers often work in fields like scientific computing, engineering simulations, and data analysis, where large-scale computations are required. Their expertise includes understanding parallel algorithms, distributed computing, and troubleshooting issues related to parallel performance.

What skills and qualifications are needed to thrive as an MPI developer?

To thrive as an MPI Developer, you need strong proficiency in parallel programming concepts, C/C++ or Fortran, and a solid understanding of distributed computing, typically supported by a degree in computer science or a related field. Familiarity with the Message Passing Interface (MPI) standard, experience using HPC clusters, and knowledge of debugging and profiling tools are essential. Excellent problem-solving skills, teamwork, and clear communication help you collaborate effectively with researchers and engineers on complex projects. These skills are crucial for developing high-performance, scalable software that efficiently utilizes computing resources in scientific and engineering environments.

What are common challenges MPI developers face when working on large-scale distributed systems?

MPI Developers often encounter challenges related to debugging and optimizing parallel code across multiple nodes, especially when scaling to thousands of processes. Issues like process synchronization, deadlocks, and communication bottlenecks can arise and require strong problem-solving skills and familiarity with MPI debugging tools. Additionally, ensuring efficient data distribution and minimizing latency between nodes are critical for performance, making collaboration with system administrators and hardware specialists essential. Regular code reviews and performance profiling are common practices to address these challenges effectively.

What is the difference between Mpi Developer vs Software Engineer?

AspectMpi DeveloperSoftware Engineer
Required CredentialsBachelor's in Computer Science or related field, MPI programming experienceBachelor's or higher in Computer Science, programming skills
Work EnvironmentHigh-performance computing, scientific research, research labsVaried industries including tech, finance, healthcare, often in office settings
Industry UsageResearch institutions, scientific computing, HPC centersTechnology, software development, enterprise solutions

In summary, Mpi Developers specialize in parallel programming using MPI for scientific and high-performance computing, whereas Software Engineers have broader roles across various industries focusing on software development. Both roles require programming skills, but Mpi Developers focus more on HPC environments and MPI-specific expertise.

What cities in California are hiring for Mpi Developer jobs?

Cities in California with the most Mpi Developer job openings:

Infographic showing various Mpi Developer job openings in California as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, 2% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Software Engineering Manager - GPU Communications Libraries

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Job Summary:
NVIDIA is a leader in GPU technology and is seeking a Software Engineering Manager to lead the GPU Communications Libraries and Networking team. The role involves managing the development of communication libraries for Deep Learning and HPC, while collaborating with various teams to define product roadmaps and improve processes.
Responsibilities:
• Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
• This is a technical leadership role so you will participate in feature design and implementation.
• Interact with internal and external partners and researchers to understand their use cases and requirements.
• Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
• Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner.
Qualifications:
Required:
• 10+ overall years of experience in the software industry with specialization in HPC networking or system software.
• 4+ years of management experience.
• BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
• Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle.
• Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations.
• Excellent C/C++ programming and debugging skills in Linux.
• Experience balancing multiple projects with competing priorities.
• Flexibility to work and communicate effectively across different teams and timezones.
Preferred:
• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
• Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads.
• Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies.
• Knowledge of HPC and ML/DL fundamentals.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993