Arize AI seeks an Applied AI Engineer focused on developer growth to produce example code (agents, assistants), technical content (repos, blogs, workshops), and act as the voice of AI engineers to inform product and GTM. Requires proficiency in Python and experience with LLM app stacks (agents, orchestration, vector DBs, evaluation), engagement in developer communities, and ability to present at events. Estimated annual salary $100,000–$175,000.

Veeva seeks a Services Platform Engineer to build and ship AI features (RAG, agents, LLM apps) and full-stack services using Python (async/FastAPI), React/TypeScript, AWS (including Bedrock and ECS Fargate), and Postgres. Requires 2+ years building production software, hands-on Python, experience with RAG/agent apps, SQL/Postgres, Docker, and strong English. Base salary range listed: USD 90,000–150,000.

Technical staff-level role on the Enterprise Security team driving technical strategy and engineering for securing the enterprise AI ecosystem. Responsibilities include designing secure reference architectures for AI platforms, building decision infrastructure and guardrails, AI vetting frameworks, agentic AI identity/posture management, coding and IaC (Python/Go/Java), and mentoring engineers. Requires 7+ years in security engineering and 2+ years in technical leadership; cloud (AWS/GCP) and Kubernetes experience required. Role is remote in the US (not eligible in certain Bay Area cities) and may require occasional travel.

Work across research, engineering, and product teams to develop and profile workflows and sample applications, benchmark and optimize GPU-accelerated computing and ML frameworks, and represent NVIDIA at scientific events. Requires BS/MS/PhD (or equivalent) and 5+ years building HPC/AI/ML software for physics and numerical simulations.

Lead product strategy and go-to-market for NVIDIA’s AI-for-Quantum platform by collaborating with research, engineering, hardware partners, and developers to build AI models, tools, APIs, libraries, and workflows that accelerate quantum computing. Requires ~8+ years experience in AI, accelerated computing, or quantum technologies and strong technical communication and product leadership skills.

Senior-level contractor evaluates AI-generated coding interactions end-to-end (focusing on usefulness, reasoning, engineering judgment, and quality of explanations). Requires strong experience with TypeScript/JavaScript or Python, hands-on use of Codex/Claude Code or Cursor, strong written/spoken English (B2+). Flexible 10–20 hrs/week, ongoing projects.

Work with inference partners to build and operate high-performance inference stacks using NVIDIA technologies (Dynamo, Triton, TensorRT-LLM, vLLM, SGLang). Requires 6+ years in solutions architecture (including 2+ years with AI workloads on Kubernetes), experience with disaggregated serving, model/kernel optimization, quantization, speculative decoding, and agent/full-stack inference design. Role is remote within the US with a Santa Clara location noted; BS in CS/Engineering or equivalent experience is requested.

Join GitLab's Duo Client SDK team to design and implement versioned TypeScript packages and SDK clients used by editor extensions and web Duo Chat. Work includes Node.js core design, API and semantic versioning, package extraction and publishing, Vue 3 client work, credential handling, bundle optimization, testing, and on-call support. Remote role for Canada and the United States.

Lead design and implementation of Zip’s enterprise Data & AI Platform to support analytics, machine learning, Generative AI and Agentic AI. Responsibilities include building scalable batch and real-time pipelines, vector search and RAG capabilities, lakehouse/open table formats, governance, observability, and mentoring engineers. Requires 8+ years' experience and deep expertise with cloud data platforms and tools (SQL, Python, dbt, Airflow/Dagster, Kafka/Spark). Salary range listed: $134,000–$168,000/year. Visa sponsorship is not available.

Own your function's AI strategy and prioritize high-impact opportunities; prototype and configure AI agents (no-code/low-code), manage agent operations and metrics, build a Champion network, and drive adoption and change management while partnering with the Enterprise AI engineering team. US base salary range listed: $203,200–$345,600 USD (annual).

Role to design and develop algorithms and models for price and promotion optimization using optimization and deep learning techniques. Responsibilities include solution development, presenting results to technical and non-technical stakeholders, cross-functional collaboration, and building reusable analytics artifacts. Minimum 3 years' experience; preferred experience with Gurobi, forecasting, predictive modeling, and a quantitative degree (PhD preferred).

Mid-level Software Engineer (Software Engineer II) responsible for designing, developing, testing, and maintaining cloud-based software. Requires 3+ years' experience, strong C#/.NET and API skills, familiarity with Docker, CI/CD, Azure/AWS, and experience with AI development tools. Works cross-functionally on product and platform initiatives. Remote within the US.

Hands-on senior engineering role building GitHub Copilot Code Review: define and implement how the review agent reasons and which models run, own reliability and on-call for a high-throughput service, design offline and online evaluations, collaborate with research and model teams, and mentor senior staff. Requires extensive software engineering experience and working with models at scale.

Role to design MLIR dialects and APIs, implement compiler optimizations and kernel generation for neural networks, and collaborate with framework and hardware teams. Requires a BS/MS/PhD or equivalent, 3+ years' relevant experience in performance analysis and compiler optimizations, experience with MLIR/XLA/LLVM, strong C++ and Python skills, and familiarity with GPU programming (CUDA/OpenCL) and deep learning frameworks (PyTorch/JAX). Salary ranges provided for levels 3 and 4.

CrowdStrike seeks a Senior Machine Learning Engineer to support an AIDR engineering team focused on LLM post-training, scalable low-latency inference, and data engineering for customer-facing AI applications. Responsibilities include building and maintaining data pipelines, supporting model training and inference at scale (including GPU clusters), collaborating with data scientists and engineering teams, and following engineering best practices. Location: USA - Remote. Posted U.S. base salary range: $140,000–$215,000 per year.

CrowdStrike is hiring a Data Scientist to lead R&D and production deployment of LLMs and GenAI agents for cybersecurity. Responsibilities include end-to-end research (data sourcing, labeling, modeling, evaluation), technical leadership, mentoring, and collaborating with engineering and product teams. Requires an advanced degree (MS/PhD), 5+ years of applied ML/research experience, strong Python and deep learning framework skills, GPU optimization knowledge, and experience with LLM training or deployment at scale. US base salary range: $120,000–$180,000 per year.

The Director, AI Governance & Enterprise Solutions is the senior AI technical lead responsible for the Momentive Context Library, defining and enforcing technical standards for AI agents, leading agent review and approval, building agents and tooling for the AI Operations Hub, and advising spoke teams on architecture, deployment, monitoring, and security. Requires 7+ years in software/AI systems with at least 3 years working with LLMs, agent architectures, and production AI deployments.

Lead end-to-end product and engineering efforts to improve Copilot code review quality, context, memory, and evaluation infrastructure. Responsibilities include designing evals and metrics, making quality/latency/cost tradeoffs, shaping experiences across VS Code/Copilot app/CLI, and keeping distributed services healthy (including on-call).

Lead and grow multiple engineering teams building Agentic AI systems, orchestration frameworks, and guardrail systems for compliance and customer support. Set technical vision and roadmaps, drive architecture and delivery of production LLM-based systems, and partner with Compliance, Operations, and Product leadership. Requires 10+ years in software engineering, 5+ years engineering management (2+ managing managers), and proven experience shipping LLM/Agentic AI applications to production.

Technical leader responsible for architecting and driving implementation of large-scale, low-latency distributed inference systems and full model lifecycle management. Requires deep expertise in GPU architecture and low-level performance tuning (CUDA, kernels), cloud-native multi-tenant model serving, orchestration (Kubernetes, Ray), and open source ecosystem engagement. Minimum 16+ years technical experience and significant leadership experience (7–10+ years cited).