Arize AI is hiring a Forward Deployed AI Engineer to partner with enterprise AI teams to design, implement, and scale GenAI observability and evaluation programs. The role is hands-on and client-facing, requires 2+ years software development experience, strong skills in Python/Java/TypeScript (comfortable in at least two), MLOps and cloud technologies (AWS/GCP/Azure), and experience with Docker/Kubernetes. Candidates must be based in the San Francisco Bay Area / PST timezone.

Join the GitHub Copilot AI Models team as a Staff Software Engineer to design, build, and maintain scalable, reliable backend services and APIs powering Copilot. Responsibilities include system design, implementation, testing, CI/CD, on-call participation, mentoring, writing architecture proposals, and collaborating with cross-functional teams. Required experience includes substantial production software engineering and familiarity with multiple programming languages and cloud/CNCF concepts.

NVIDIA seeks an Applied Agentic AI Lead to collaborate with ISV Software Platform Architects to co-design, prototype, and ship production agentic AI systems (RAG, multi-agent, long-horizon workflows) on NVIDIA technologies. The role requires 12+ years of relevant technical, product, or solutions experience, strong deep learning and GenAI foundations, hands-on experience with LLM stacks and production deployment tooling (Python, LangChain, vLLM, TensorRT-LLM, Kubernetes, etc.), and the ability to represent partner needs to product and engineering teams.

NVIDIA seeks a Senior AI/Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms and code-generation techniques. The role requires strong CUDA and GPU performance debugging skills, experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton), and proficiency in C/C++ and Python. The position lists a minimum of 3+ years' relevant experience and provides a base salary range of 152,000–241,500 USD per year.

Software Engineer II (remote) responsible for designing, developing, deploying, and supporting production applications with emphasis on ML/AI solutions. Requires experience with Python and at least one OOP language, ML frameworks (e.g., PyTorch, TensorFlow), SQL/NoSQL databases, cloud platforms (Azure/AWS/GCP), CI/CD and DevOps practices, microservices/APIs, testing, monitoring, and related engineering practices. Minimum 2 years' experience. Salary range (for listed locations) $90,000–$170,000/year.

Technical Engagement Lead responsible for architecting, prototyping, and shipping production agentic AI systems (RAG, multi-agent, inference) on NVIDIA stack and open tools; drive adoption with strategic ISV partners, coordinate cross-functional teams, and inform product and research priorities. Requires 12+ years in technical product/engineering/solutions roles, advanced AI/ML and deep learning experience, and proficiency with Python, PyTorch, MLOps, Kubernetes, and relevant agent/LLM tooling. Salary range provided: 224,000–431,250 USD base (location- and level-dependent).

Capital One seeks a Distinguished Engineer (full stack) to provide technical leadership across finance technology, drive architectural excellence, and lead AI-native engineering practices (AIOps, LLM/agentic systems). Requires expertise in software and solution architecture, distributed/HPC and ML systems, cloud platforms (AWS/Azure/GCP), data engineering, and hands-on coding (Python, Java, Go, Scala, JavaScript/TypeScript). Role is remote-eligible and includes mentoring and cross-team collaboration.

The Forward Deployed AI Accelerator will work directly with groups of ~20 marketers to identify high-leverage workflow changes, build custom AI tools and agents, coach marketers to adopt and self-sustain those solutions, and document and scale successful patterns across marketing. Requires 5+ years' experience and demonstrated hands-on experience building AI-powered tools, plus coaching/enablement experience and strong communication skills.

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and open-source inference frameworks. Responsibilities include performance optimization, scaling DL models across NVIDIA accelerators, and contributing to inference libraries (vLLM, SGLang, FlashInfer). Required: MS/PhD or equivalent, 5+ years software development experience, strong C/C++ skills; Python and GPU programming (CUDA, Triton, CUTLASS) experience are listed as pluses.

Serve as the principal technical authority in the Commercial AI Center of Excellence to define multi-year technical vision, reference architectures, and standards for AIaaS. Hands-on responsibility across data, model training and fine-tuning, retrieval/RAG, orchestration, evaluation, observability, and production operations, with emphasis on responsible AI, cloud optimization (Azure preferred), and mentoring senior engineers.

NVIDIA is hiring a Senior Solutions Architect/Engineer to drive deployment of GPU server and networking systems for AI customers, act as technical advisor, build POCs, and guide product roadmap. Requires BS/MS/PhD or equivalent, ideally 6+ years in systems/solution engineering, strong Linux/kernel, networking (Ethernet/InfiniBand/RoCE), GPU/CUDA knowledge, and willingness for occasional (~20%) travel. Salary range: 184,000–356,500 USD/year depending on level and location.

Join GitLab's AI Events team to design and operate the trigger and event platform (largely within a Rails monolith) that connects GitLab and third-party events to AI-powered Duo Flows. The role focuses on Ruby/Rails backend development, integrating large language models into user-facing tools, architecting for high availability and throughput, participating in Tier 2/3 on-call rotations, and collaborating across product and engineering teams.

NVIDIA OpenShell seeks a senior research engineer to identify, prototype, benchmark, and integrate advances in agentic systems and LLM infrastructure into production runtime and developer tools. Requires 8+ years of relevant experience, MS/PhD or equivalent, deep experience with LLMs, agent harnesses, inference infrastructure, evaluation and safety approaches. Base salary range listed: 184,000–287,500 USD/year.

Build the first production services for a context layer management system: ingestion, indexing, retrieval orchestration, APIs, and agent-facing integrations. Help define a scalable multi-tenant SaaS foundation (tenant isolation, quotas, audit logs, background jobs), instrument and operate services, and contribute to technical direction. Requirements include experience delivering production software, working with LLMs/GenAI and prompt engineering, cloud-native environments (AWS/GCP/Azure), and observability tools.

NVIDIA seeks an AI Solutions Architect with 5+ years' experience in AI/software engineering to profile and optimize model training/inference on GPUs, develop and optimize GPU kernels (GEMM, attention), build POCs for LLMs and recommenders, and lead customer-facing technical engagements. Open to remote work with occasional travel; salary range USD 152,000–241,500 per year.

Role involves designing and evaluating routing policies for LLM traffic, building and running agentic benchmarks, contributing code and design docs to open-source, and collaborating with research and engineering teams to integrate optimized inference solutions. Requires 8+ years' experience with deep learning frameworks (PyTorch or TensorFlow), strong ML and systems fundamentals, and experience in model evaluation and benchmarking.

Hands-on technical product manager role building AI Agent applications for drug labeling: design and prototype AI features, data flow, orchestration, prompts, and model integration. Requires coding in Python and hands-on experience with AI frameworks/APIs, strong AI/ML and LLM knowledge, and collaboration with engineering and UX. Base salary range listed: $75,000–$165,000.

Join GitHub's Copilot AI Models team to design, implement, and operate highly available backend services and APIs that power Copilot. Responsibilities include system design, reliability and performance improvements, CI/CD automation, on-call participation, and mentoring. Qualifications span multi-year software engineering experience and proficiency in languages such as Go, Python, Java, C/C++, C#, JavaScript, Ruby, or Rust.

Customer.io seeks a GTM AI Engineer to take prototype AI agents to production-grade systems used by GTM teams. Responsibilities include writing evals, hardening prompts and tools, instrumenting tracing/logging/monitoring, maintaining deployment pipelines and environment parity on GCP, database administration for agents, and ongoing fleet monitoring and improvements. Required: 4+ years in software/platform/infrastructure engineering, comfort with terminal and GitHub PR workflows, cloud hosting (Kubernetes/VMs) with Google Cloud preferred, and familiarity with LLM-based development (prompting, tool calling, evals, agent frameworks).

Seeking a Research Scientist (PhD or equivalent) to conduct original research and build prototypes in generative and multimodal modeling for professional creative workflows. Work spans image, video, 3D, vector graphics, and design, with emphasis on controllability, editability, reusable assets, publication, and product-relevant prototypes. Strong programming skills in Python and PyTorch and a track record of research/publication are required.