AI Engineering Jobs in San Francisco

Tenstorrent is seeking a Workload Performance Analysis Engineer to optimize the performance of next-generation RISC-V CPUs for modern datacenter and agentic AI workloads. This role bridges hardware and software, focusing on bringing real-world applications to RISC-V platforms, analyzing their behavior, and identifying opportunities for improved CPU performance, efficiency, and scalability. You will collaborate with CPU architects, designers, and software engineers to understand how demanding workloads interact with the CPU and translate these insights into architectural enhancements. Your work will directly impact CPU architecture and performance across cloud, enterprise, and emerging AI workloads.

$100k - $500k

Anthropic

The People Products team at Anthropic is dedicated to shaping the future of AI at work, focusing on critical aspects of the employee lifecycle. This role involves defining the blueprint for AI in professional environments, from hiring and manager effectiveness to onboarding and fostering company culture through innovative tools. You will work directly with Anthropic's advanced AI, Claude, tackling complex, unsolved problems and moving rapidly from prototype to production. This is an opportunity for individuals who are passionate about improving people practices and want to make a significant impact at a leading AI company.

$405k - $485k

Elastic

Elastic is seeking a Principal AI Ecosystem Architect to lead technical strategy and relationships with key AI providers, specifically OpenAI and Anthropic. This individual contributor role involves driving co-build strategies through deep integrations, influencing Elastic's product roadmap, building prototypes, and shaping go-to-market content. The architect will own end-to-end technical relationships, bringing both technical depth and practical experience to demonstrate how Elastic's retrieval capabilities can be leveraged with frontier AI for unstructured enterprise data.

$184k - $291k

Join us as we build the next generation of enterprise search infrastructure powering AI agents. Our mission is to evolve from traditional product-specific search systems into a composable, agent-native platform that enables agents and applications to discover, retrieve, reason over, and recommend information across heterogeneous enterprise data sources. As a Senior Staff Engineer, you will be the technical owner for foundational search infrastructure that serves as the backbone of our agentic platform. You will drive the architecture, scalability, and evolution of core indexing and retrieval systems while partnering closely with Search Ranking, ML, Platform, and AI teams to deliver production-grade search capabilities that power agent experiences across the company.

$191k - $334k

As a Simulation AI/ML Engineer intern, you will partner with senior engineers to deliver key components of the evaluation strategy for GM’s autonomous vehicle programs. In this role, you will scale the testing and evaluation of our self-driving stack by applying AI/ML techniques to software solutions. You will design, perform experiments, and deploy these solutions as production-ready code. The work you do will be directly applied to the iteration and validation of the self-driving stack. The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate the development of autonomous vehicles as well as general vehicle software development.

$97k - $115k

Anthropic

Reinforcement learning (RL) is crucial for Claude's ability to reason, write code, and act autonomously over long horizons. This role is part of the team responsible for building and maintaining the RL training system, which is used to train production models and for researchers across Anthropic to run their experiments. The team collaborates closely with research teams company-wide on the science and engineering required to scale RL effectively. As a Research Engineer, you will be at the heart of RL at Anthropic, with a direct view of RL training at the frontier, as the system you own supports both production and research runs. You will work with collaborators across research teams to understand system performance, identify areas of fragility, and drive future improvements.

$500k - $850k

Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

As a PhD AI/ML Engineering Intern within General Motors’ Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.

$156k - $187k

SambaNova

SambaNova is seeking a Software Architect to join the SambaStack platform team. This role involves defining the technical direction and architectural strategy for an AI inference platform that serves enterprise AI workloads on SambaNova's RDU hardware. You will own cross-cutting architectural decisions, ensuring the platform meets enterprise-grade standards for scalability, reliability, and performance. This is a high-impact position at the intersection of AI infrastructure, enterprise software, systems architecture, and developer experience.

$245k - $325k

Harvey is transforming legal and professional services by integrating advanced agentic AI with an enterprise-grade platform. This role is a founding position on the Security Engineering team, focused on building the foundational security for AI agents. You will lead the development of a platform that enables agents to perform security work, including vulnerability discovery and validation through authorized penetration testing, while ensuring data and system protection. The work involves shaping how agents are sandboxed across product and internal platforms, building execution environments, orchestration, and controls, and enabling the secure internal use of open-source models.

$231k - $346k

Cerebras

Cerebras Systems is seeking an AI and Automation Engineer to join their Business Intelligence and Systems team. This role involves designing, building, and operating secure AI solutions and enterprise automations for the company. You will translate complex requirements from Finance, Accounting, Supply Chain, and other business units into reliable agents, applications, integrations, and controlled workflows. The position requires a blend of solution architecture, direct engineering, production support, and agile delivery, with a strong emphasis on software engineering judgment and practical business process knowledge to move prototypes into secure, supportable production services.

Salary not listed

Salesforce is seeking experienced Technical Builders to serve as Forward Deployed Engineers (FDEs). In this role, you will design, build, and deploy agentic AI solutions directly within enterprise customer environments. You will collaborate closely with a Deployment Strategist to co-build solutions that go live in production from day one, working on real code in real environments to achieve measurable business impact. This position involves configuration, customization, and full-stack deployment of critical solutions, leveraging cutting-edge AI tools and platforms. You will be at the forefront of AI innovation, working on capabilities that shape the future of agentic AI and feeding your insights directly back to product teams.

$89k - $288k

SambaNova

As a Senior Principal Machine Learning Engineer, you will be responsible for designing, developing, and optimizing machine learning models, with a focus on cutting-edge Large Language Models (LLMs), to run efficiently on SambaNova's specialized hardware architecture, including the RDU. This critical role bridges advanced LLM research and practical deployment, involving the development of model architectures, improving training and inference efficiency, and collaborating on hardware-software co-design with compiler, systems, and hardware teams. The engineer will also act as the ML expert, guiding the integration of LLM solutions into production systems and customer-facing products like SambaStack and SambaCloud, with work spanning the full lifecycle from training and inference to evaluation and data curation.

$220k - $300k

SambaNova

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

SambaNova

SambaNova is seeking a Senior Developer Advocate, AI Content & Community to enhance the visibility and utility of its AI infrastructure technology. This role involves hands-on development of compelling demos and applications using SambaCloud, alongside building relationships within the developer ecosystem to amplify SambaNova's offerings. The ideal candidate will be adept at prototyping, clearly explaining complex technology, and effectively communicating through various media, including live presentations and digital content.

$196k - $240k

SambaNova

SambaNova is seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You will work hands-on with advanced models to push the limits of throughput, latency, and efficiency. This role bridges the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference.

$180k - $255k

SambaNova

SambaNova is seeking a Compiler Architect to join their team and drive innovation in compiler infrastructure and optimization algorithms. This critical role involves working with various layers of the compiler stack and coordinating with development teams to ensure state-of-the-art ML model performance on the SambaNova platform. Responsibilities include analyzing PyTorch and machine learning models to map operations onto the company's unique dataflow hardware.

$210k - $280k

d-Matrix

d-Matrix is seeking a Sr Staff Site Reliability Engineer to join their AI Infrastructure team. This role is crucial for owning the infrastructure layer that powers all engineering teams and customers, encompassing colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will be responsible for reliability, automation, and observability across these diverse environments, managing systems end-to-end from provisioning to incident response. This is a hands-on position focused on building and operating real infrastructure, collaborating with hardware and software teams on CI/CD, QA, and HPC workloads, and supporting customer-facing deployments.

$175k - $265k

OpenAI

We are seeking a software engineer to build and evolve our classification and evaluation platform. You will develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You will shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users.

$347k - $445k

Unusual Ventures is seeking an AI Engineer to join their team. This role involves building AI-powered agents and pipelines to enhance talent intelligence, sourcing, and research for their portfolio companies. You will also develop tools for diligence support, firm knowledge management, operations automation, and portfolio support, directly impacting the firm's usefulness to the founders they back. The position emphasizes building practical solutions that address real user problems and iterating quickly.

Salary not listed

Handshake is seeking a Member of Technical Staff, Evals to help define how frontier AI systems are measured, understood, and improved. This is a high-ownership role for researchers who build, partnering with AI researchers, domain experts, and customers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques. Early members of the team will have significant influence over technical direction, operating culture, and the open-source software, benchmarks, and research products built. The company prioritizes demonstrated research capability, technical judgment, and a builder's mindset over specific titles, degrees, or career paths.

$200k - $350k

Retool

Retool is building the platform that makes custom software, especially AI-powered applications, safe to ship. As AI empowers more people to build software, the risk of shipping ungoverned applications grows. Retool provides a platform that connects to business data, enforces enterprise policies, and allows teams to create and reuse components safely. This role focuses on building the agent platform behind Retool's AI products, owning model-driven behavior in production, and ensuring the reliability, affordability, and scalability of agentic products used by engineering teams.

$164k - $306k

Limrun is seeking an engineer to build and scale its platform, which runs development tools and applications as cloud services that AI agents can use. The role involves deciding on product direction, owning projects from design to maintenance, and participating in an on-call rotation to investigate and resolve production incidents. This is an opportunity to work directly with the founder, shape the engineering team's practices, and explore the application of AI in solving infrastructure challenges.

Salary not listed

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k