Staff Software Engineer, Code RL AnthropicStaff Software Engineer, Code RLSan Francisco, CAYou'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff/ Senior/ Principal Systems Engineer - R&D Culture BiosciencesStaff/ Senior/ Principal Systems Engineer - R&DSouth San Francisco, CA$165,000–$260,000 / yearThis platform enables high-throughput process development projects to be rapidly and seamlessly executed directly by our customers in their own facilities, in our service laboratories, or both, all driven by our cloud-connected web application, accessible from anywhere, for designing, managing and analyzing experiments. Complex debugging & Root Cause Analysis: Drive root-cause across subsystems; implement corrective actions and regression prevention (design changes, test additions, process updates).
Principal Board Product Engineer MarvellPrincipal Board Product EngineerSanta Clara, CAHighlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. This role will serve as the technical bridge between ASIC development, hardware design, manufacturing, test engineering, compliance, suppliers, and operations teams to ensure successful product launches.
Performance Engineer AnthropicPerformance EngineerSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Research Scientist/Engineer, Biological Safety AnthropicResearch Scientist/Engineer, Biological SafetySan Francisco, CAAs a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work.
Platform Security Engineer, Openbmc AnthropicPlatform Security Engineer, OpenbmcSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Security and hardening: Own the BMC security posture: secure and measured boot, root of trust, attestation (SPDM), authenticated update (PLDM FW Update), rollback protection, attack-surface reduction.
Staff+ Software Engineer, Account Abuse AnthropicStaff+ Software Engineer, Account AbuseSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses.
Staff Validation Engineer, Photonic Fabric MarvellStaff Validation Engineer, Photonic FabricSanta Clara, CAThe team develops cutting-edge silicon photonics and co-packaged optics solutions designed to overcome the bandwidth and power limitations of traditional electrical interconnects - enabling the massive data movement demands of large-scale AI accelerators and data center fabrics. Help build and run integrated electro-optical test setups (probe stations, DCAs, BERTs, tunable lasers, optical power meters, fiber fixtures); assist with fiber handling and alignment.
Research Engineer, Performance RL (Reinforcement Learning) AnthropicResearch Engineer, Performance RL (Reinforcement Learning)San Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff Machine Learning Engineer XPeng MotorsStaff Machine Learning EngineerSanta Clara, CA$215,280–$364,320 / yearAnalyze TSR-related scenarios and failure cases, including missed detections, false positives, occlusions, small objects, rare signs, region-specific signs, and adverse weather or lighting conditions. This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception models from offline training to onboard production systems.
Principal, Product Quality Engineer MarvellPrincipal, Product Quality EngineerSanta Clara, CAThe Product Quality Engineer ( PQE) is a technical and execution leader responsible for end-to-end product quality and reliability governance across the product lifecycle-from early development through high-volume manufacturing and end-of-life. This role owns quality strategy, risk posture, and execution outcomes for complex products, leading cross-functional teams to deliver on-time, high-confidence releases while protecting customer trust.
Principal Engineer - Item Master MarvellPrincipal Engineer - Item MasterSanta Clara, CAHighlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. The Product Lifecycle Management (PLM) Principal Engineer is responsible for overseeing and optimizing the end-to-end lifecycle of a product-from concept and development through production, launch, support, and retirement.
Staff Research Engineer, Discovery Team AnthropicStaff Research Engineer, Discovery TeamSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively.
Senior Principal Digital IC Design Engineer MarvellSenior Principal Digital IC Design EngineerSanta Clara, CAParticipate in the full design development cycle, end-to-end, from writing micro-architecture docs, RTL coding, specifications of timing, closely work with design verification teams to review test plans and execution of test, ability to bring up block tests on silicon during lab testing, and maintenance of designed blocks and reusable IPs. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones.
Research Engineer / Scientist, Alignment AnthropicResearch Engineer / Scientist, AlignmentSan Francisco, CAAs a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Offensive Hardware Security Engineer, Platform Security AnthropicOffensive Hardware Security Engineer, Platform SecuritySan Francisco, CAYou'll work cross functionally with teams across Anthropic and our partners to assess security features in hardware, firmware, bootloaders, operating systems, and attestation systems to identify and remove vulnerabilities from the ground up. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff + Senior Software Engineer, Inference AnthropicStaff + Senior Software Engineer, InferenceSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Security Engineer, Detection & Response AnthropicSecurity Engineer, Detection & ResponseSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Senior Principal Engineer - Hardware Chip Lead, Connectivity BU MarvellSenior Principal Engineer - Hardware Chip Lead, Connectivity BUSanta Clara, CAOur products - including multi-terabit retimers, coherent DSP devices, and high-speed optical transceivers - are critical enablers for efficient, high-bandwidth data transmission across fiber optical networks and electrical interconnects at 100G+ per lane. We are a global, multi-site engineering organization spanning Santa Clara, Ottawa, Pavia, Irvine, Vietnam, and Argentina - and we are looking for a senior experienced technical leader to serve as Hardware Chip Lead on our next-generation ODSP programs.
Staff Software Engineer, Labs: Applied AI AnthropicStaff Software Engineer, Labs: Applied AISan Francisco, CAIn this role, you'll take frontier AI capabilities and turn them into applications that professionals in less software-native roles can pick up and trust - rapidly building and testing new experiences, partnering directly with researchers, domain experts, and users, and generating the insights that shape where this exploration goes next. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.