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Senior Software Engineer, CUDA Rust Core Libraries
Builds safe, idiomatic Rust APIs for CUDA Core Libraries, integrating with C/C++ to accelerate GPU computing for AI and HPC developers.
Senior Software / Embedded Software Engineer - Product
Build and ship robust embedded software for radar systems on NVIDIA Jetson and sensors, focusing on low-latency, reliability, and fleet-grade concerns like OTA updates and fault tolerance.
Senior Software Engineer, Gaming AI Development
Develops AI-driven gaming solutions for Snapdragon devices, optimizing machine learning models for hardware acceleration and integrating them into game engines.
Machine Learning Engineer, Tools
Build and optimize Qualcomm’s AI Runtime SDK to deploy large generative models (LLMs, LVMs) efficiently on Snapdragon chips using C/C++ and Python.
Junior Software Engineer
Develops real-time signal processing algorithms on GPUs using C/C++ and CUDA, working with Linux and multi-core systems to meet DoD project needs.
Senior Software Engineer - Scientific Evaluation
Build and own a shared platform for benchmarking and evaluating scientific software and AI agents using C++, Python, CUDA, and PyTorch across large GPU fleets.
Senior Software Engineer, DGX Cloud Orchestration
Senior Software Engineer building scalable automation and orchestration systems for NVIDIA’s DGX Cloud, integrating Kubernetes, Prometheus, and telemetry to streamline AI infrastructure workflows.
AI HPC Infrastructure Engineer
Maintains and optimizes a hybrid HPC/AI Linux cluster with GPUs, scheduling tools (SLURM/Kubernetes), and MLOps pipelines to support large-scale model training and inference for researchers.
Principal Software Engineer, MLOps
Build and deploy GPU-accelerated computer-vision pipelines for underwriting models using Hugging Face, FastAPI, Kubernetes and AWS; own CI/CD, code quality and mentoring.
Nuclear Data Scientist
Research Data Scientists apply advanced AI, machine learning, and data analytics to scientific datasets across nuclear energy, national security, and critical infrastructure programs, turning complex data into insights that advance Idaho National Laboratory's research and DOE's mission.
Product Manager - AI SW Infrastructure (AI Software Stack / Compiler / Platform) - US
Lead the AI software stack, compiler, and platform roadmap for a next-gen AI infrastructure startup, defining toolchains, framework integrations, and runtime engines to optimize AI model execution on custom hardware.
Software Engineer, Runtime
Builds and optimizes the low-level runtime stack for FuriosaAI’s NPU hardware, focusing on DMA I/O, kernel scheduling, multi-node inference, and embedded firmware to maximize inference throughput and minimize latency.
Senior Software Developer, ML Ops
Build and maintain the ML platform that trains, deploys, and monitors AI/ML models across Wealthsimple’s products using Kubernetes, Ray, FastAPI, and MLflow.
Software Engineer in Test- Pleasanton, CA
Develop and verify C++ software for real-time urology medical devices, writing automated tests and ensuring FDA-compliant documentation and risk management.
ML Infrastructure Engineer
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
Software Solutions Architect
Architect and deliver full-stack AI and enterprise solutions showcasing AMD GPUs/APUs, working directly with customers and internal teams to optimize inference workloads and system designs.
AI Software Engineer
Develop and optimize deep-learning frameworks for AMD GPUs, focusing on GPU kernels, distributed inference, and compiler tech to improve training/inference performance.
Principal Software Quality Engineer, GPU & Machine Learning
Lead ROCm software validation for AMD Instinct GPUs, defining test architecture, CI/CD pipelines, and release gates for AI/ML and HPC workloads across multi-node systems.
AI Software Development Engineer
Develop and optimize deep learning frameworks (PyTorch, TensorFlow, SGLang) for AMD GPUs, improving kernel performance and scaling AI workloads across multi-GPU and multi-node systems.