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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Architect - Deep Learning and HPC Communications Organization - **Company:** NVIDIA Corporation - **Location:** Westford, MA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Artificial Intelligence, C++ (Programming Language), Computer Clusters, Nvidia CUDA, Computer Programming, Computer Networks, Software Debugging, Linux, Network Topologies, InfiniBand, Network Architecture, Software Architecture, Tensorflow, Subsystems, Systems Architecture, Graphics Processing Unit (GPU), Computer Network Operations, High Performance Computing, Pytorch, Deep Learning, Parallel Computation - **Published:** October 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-architect-deep-learning-and-hpc-communications-westford-ma--d36abf0d-d628-4601-9c97-f573b63dc6b3 ## About the Role * M.S./Ph.D. degree in CS/CE or equivalent experience. * 5+ years of relevant experience. * Excellent C/C++ programming and debugging skills. * Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). * Deep understanding of operating systems, computer and system architecture. * Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads. * Strong experience with Linux. * Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: * Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc. * Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications. * Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment., Algorithms, Artificial Intelligence (AI), Automotive Automation, C Programming Language, C++ Programming Language, CUDA (Compute Unified Device Architecture), Communication Skills, Communication Systems, Communications Software, Computer Architecture, Cross-Functional, Debugging Skills, Deep Learning, GPU (Graphics Processing Unit), Interpersonal Skills, MPI, Network Architecture/Engineering, Network Operations Center, Network Software, Network Topology, Operating Systems, Parallel Programming, Performance Management, Proof of Concept, Quantitative Analysis, Return on Capital Employed (ROCE), Simulation, Software Architecture, System Architecture, Team Player ## Description * Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. * Design and implement new communication technologies to accelerate AI and HPC workloads. * Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. * Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. * Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs) ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)