NVIDIA is hiring a Senior Deep Learning Performance Architect focused on hardware-software co-design to advance AI inference performance. Responsibilities include designing GPU/system architectures, constructing and testing deep learning algorithms, building power and performance models of the AI inference stack, and collaborating with software, research, and product teams. Qualifications: MS/PhD or equivalent, 5+ years relevant experience, strong math background in ML/DL, expert programming in C/C++/Python, familiarity with GPU computing (CUDA) and HPC (MPI, OpenMP), and knowledge of computer architecture. Salary ranges provided (USD): 152,000–241,500 for Level 3 and 184,000–287,500 for Level 4.

Paid 12-week internship on Replit's engineering team building features for millions of developers. Responsibilities include shipping real features, optimizing cloud infrastructure, building developer experiences, and working on AI-powered tools and agents. Requires current pursuit of a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related field and at least one semester remaining after completion. Emphasis on programming, full-stack development, automation, and cross-functional collaboration.

Join NVIDIA’s Earth-2 effort to develop and maintain scientific ML frameworks (PhysicsNeMo, Earth2Studio) for weather, climate, and earth system modeling. Responsibilities include implementing and validating ML methods, integrating features, and advancing GPU/HPC-enabled workflows. Requires a BS/MS (PhD preferred) in a technical field, 5+ years relevant experience, strong Python, familiarity with containers and numeric libraries, deep knowledge of DNN architectures and major deep learning frameworks (PyTorch, TensorFlow, JAX), and experience applying ML to weather/climate problems.

This SkillBridge/CSP internship places an intern on the Counter Adversary Operations AI Strategy team to research threat intelligence use cases, collaborate with subject matter experts, develop proof-of-concept GenAI tools, and support product engineers during productization. Eligibility is restricted to U.S. Armed Forces members in their final 180 days of active duty under the DoD SkillBridge program. The role expects Python and development/scripting skills, strong problem solving, and technical communication.

Nearform seeks a Senior Python Software Engineer for a permanent, full-time remote role for candidates based in the United States (preference for East Coast). The role requires significant Python experience (typically 8+ years), familiarity with AI frameworks and LLM-related workflows, cloud and database experience, CI/CD, testing, Git, and frequent travel to client sites within the U.S. Visa sponsorship is not available; travel expenses covered by the company.

Lead technical vision and implementation of Agentic AI and LLM-based production systems; build reusable primitives and orchestration platforms; work with product, compliance, and operations to translate requirements; mentor engineers. Requires 12+ years backend experience and deep proficiency in Golang; base salary range $253,895–$298,700 USD per year.

Lead AI Engineer on the Data Platform & Services team responsible for designing scalable agentic orchestration frameworks, building NLQ/self-service natural language query solutions, developing LLM and prompt evaluation frameworks, and integrating AI orchestration with Python/SQL/Snowflake data pipelines. Annual base salary range: $151,500–$215,500 USD.

Work on design and training of generative, imitation, and reinforcement learning models to improve planning and reasoning for autonomous driving; build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world deployment; explore data generation strategies; collaborate to deploy production-grade, safety-critical ML integrated with vehicle firmware. Requires strong Python and C++ skills, experience with deep learning frameworks, and demonstrated deployment of ML at scale. Education/experience: PhD +4 years or MS (or equivalent) +6 years in a related technical field.

New college grad (2026) position building ML and AI systems for circuit design and design automation (VLSI/ASIC/EDA). Work includes silicon data analysis, SPICE correlation, circuit optimization, design-space exploration, and integrating models with ML and visualization tools. Requires a Master's or PhD (or equivalent experience) and proficiency in Python and C++.

Veeva is hiring a Technical Product Manager with 5+ years of enterprise software/product or engineering experience (at least 2 years on AI/ML) to design, prototype, and deliver production AI Agent applications. The role requires Python coding, experience with AI frameworks/APIs, data flow design, model integration, LLMs, and close collaboration with engineering and UX; life sciences experience is a plus.

Work involves designing, building, and deploying production-grade ML models and infrastructure (recommendation, search/ranking, ads, content/user understanding, LLM applications). Requires 3+ years building and operating ML systems, strong programming (Python/Java/Go), experience with ML frameworks (PyTorch/TensorFlow), ML algorithms (XGBoost, Transformers, GNNs), and large-scale data/pipeline tooling. Base salary range listed: $216,700–$303,400 USD per year.

Owner of developer tooling and AI DevX platforms at Ramp: evaluate and integrate AI models/tools, build platforms that enable AI-driven engineering, gather developer feedback, and grow vendor partnerships. Role expects ~8+ years of software engineering experience, Python proficiency, strong backend/infrastructure and data systems expertise, and familiarity with AI coding tools and agents.

Join Ramp's Applied AI team to develop full-stack AI applications (AI Agents, RAG, structured extraction), build infrastructure for LLM inference and fine-tuning, and create internal tools to scale AI across the company. Role is based in Ramp's New York (HQ) or San Francisco offices; relocation support to NYC or SF is available.

Forward Deployed Engineer role focused on building agentic experiences and internal/external agents, working closely with customers and cross-functional teams to scope, prioritize, and ship scalable production software. Prefers candidates with 2+ years of software engineering experience and extensive experience building with and for agents.

Join NVIDIA's Developer Technology team to research and develop GPU acceleration techniques for deep learning, machine learning, and other AI domains. Role involves in-depth analysis and optimization of complex AI and HPC algorithms, collaboration with research and engineering teams, and publishing findings. Requires a Master’s (or equivalent), 8+ years relevant experience, programming fluency in C/C++, and experience with parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads) and low-level performance optimizations. Locations listed in the US with hybrid/remote options; posted salary ranges provided by level.

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.

NVIDIA seeks a Senior Software Architect to co-design next-generation data center platforms and scalable communications software (NCCL, NVSHMEM, UCX) for Deep Learning and HPC. Requires M.S./Ph.D. or equivalent, 5+ years' relevant experience, strong C/C++ and Linux skills, experience with parallel programming/communication runtimes (MPI, NCCL, NVSHMEM, UCX, etc.), and knowledge of network and system architecture. Locations include multiple US offices and remote; posted salary range 184,000–356,500 USD/year (varies by level).

NVIDIA seeks a Solutions Architect for its AI Software Segment to develop end-to-end AI solutions, support LLMs and multimodal models, and guide customers through data processing, training, evaluation, RL, and model optimization. Requires 5+ years with AI frameworks (PyTorch, JAX, TensorFlow), Python, Linux, experience with distributed training tools (Kubernetes, SLURM), and expertise in GPU-based model training. Location noted as US (remote) and Santa Clara; salary range stated.

Seeking a Solutions Architect for NVIDIA's Agentic AI team to design and implement agentic AI applications at scale using techniques such as reinforcement learning, inference optimization, and model fine-tuning. Requires 5+ years experience in deep learning/machine learning, strong software engineering skills (Python, C/C++, Linux), experience with GPUs and frameworks like TensorFlow or PyTorch, and familiarity with multi-agent libraries and production deployment patterns (Kubernetes/OpenShift, CI/CD).

NVIDIA seeks a Senior Software Architect for an applied research team building systems-level software to move data between GPUs, nodes, and storage. The role requires 12+ years in systems software and/or networking, expertise in RDMA/InfiniBand/GPUDirect/NVLink, strong C++/Rust skills, and experience with ML system concepts and inference frameworks. Responsibilities include architecting communication libraries, profiling and optimizing data movement, integrating networking into AI stacks, and contributing to open-source projects.