Senior Engineering Manager - OLTP SnowflakeSenior Engineering Manager - OLTPMenlo Park, CaliforniaYou will work alongside industry veterans and emerging leaders to create database technology that combines the simplicity and operational experience Snowflake customers expect with the performance and reliability required by mission-critical transactional applications. You will work on some of the hardest problems in database systems - transactions, concurrency, latency, storage, distributed systems, reliability, and cloud-scale operations - while building and developing the engineering organization needed to solve them.
Senior RTL Design Engineer MythicSenior RTL Design EngineerPalo Alto, CA$120,000–$225,000 / yearWe've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. Hands-on experience with one or more of the following subsystems: scheduling fabrics, high-performance interconnects, DMA engines, memory controllers, or datapath/control logic.
Application Engineer – Computer Vision EchoTwin AIApplication Engineer – Computer VisionSan Francisco, CaliforniaThere are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more! Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors—creating living digital twins that provide real-time insights into infrastructure, compliance, and safety.
Senior Director, Applied Research Capital OneSenior Director, Applied ResearchSan Francisco, CaliforniaBasic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money.
Principal Tech Lead Manager - Data Platform & Reliability Engineering ID.mePrincipal Tech Lead Manager - Data Platform & Reliability EngineeringMountain View, CA$242,693–$275,400 / yearSoftware Development Track Record: Previous track record of running or leading a regular software development or feature team (building backend APIs, business logic, or customer-facing applications) is a major plus. The ideal candidate brings a strong systems-engineering mindset, deep expertise in managing large-scale relational databases, and a passion for building robust, self-healing data infrastructure.
RTL Design Engineer MythicRTL Design EngineerPalo Alto, CA$120,000–$225,000 / yearWe've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. We're hiring experienced RTL Design Engineers from junior to senior levels to play a key role in designing and implementing the components that will bring our next-generation AI processors to life.
Director, Engineering Operations AbbottDirector, Engineering OperationsAlameda, California$172,000–$344,000 / yearWe are seeking an experienced and strategic Director of Engineering Operations to translate executive vision into measurable outcomes, drive cohesion across business and technology stakeholders, and build the organizational capabilities Lingo needs to lead in digital health. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms.
Applied Researcher II Capital OneApplied Researcher IISan Francisco, New YorkCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
Applied Researcher I Capital OneApplied Researcher ISan Francisco, New YorkBasic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Software Engineer Deep InfraSoftware EngineerPalo Alto, CaliforniaThis role is ideal for engineers who are already comfortable owning problems end-to-end and want to deepen their experience working on high-impact AI systems. You’ll work on designing, building, and scaling infrastructure for serving top open-source AI models in production.
Electrical Engineering & Computer Science Patent Agent or Associate #22141 San Francisco Vanguard-IPElectrical Engineering & Computer Science Patent Agent or Associate #22141 San FranciscoSan Francisco, CAThe firm is especially interested in candidates who can draft, file, and prosecute patent applications related to graphics processing units, tensor processing units, accelerators, neural engines, and robotics circuitry and actuators. Ideal candidates will possess relevant patent preparation and prosecution experience and an undergraduate or advanced degree in electrical engineering, computer engineering, software engineering, computer science, physics or mathematics.
Director of Engineering, AI Enterprise SnowflakeDirector of Engineering, AI EnterpriseMenlo Park, CaliforniaThis is a critical, high-impact leadership role where you will partner with the world's largest companies to solve their most complex challenges and unlock transformative business value using Snowflake's powerful Cortex AI Platform. As the Director of Engineering for AI Enterprise , you will be at the forefront of the generative AI revolution, leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud.
Software Engineering Manager, Lab Informatics Platform ProfluentSoftware Engineering Manager, Lab Informatics PlatformEmeryville, CAYou'll work closely with wet-lab scientists, automation engineers, data scientists, and ML experts to understand workflows, identify pain points, define requirements, prioritize tradeoffs, and lead the delivery of practical scientist-facing tools that make complex experimental workflows scalable, traceable, and actionable. Partner closely with scientists, automation engineers, data scientists, and ML researchers to understand workflows, identify pain points, define requirements, prioritize tradeoffs, and translate complex laboratory needs into scalable software solutions that accelerate Profluent's design-build-test-learn cycle.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Capital OneLead AI Engineer (AI Foundations, LLM Core and Agentic AI)San Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Engineering Leader 1 M.C. Dean, IncEngineering Leader 1San Jose , California$137,600–$172,000 / yearFull timeAs part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Computer Science, Computer Engineering, Math or Physics preferably from an ABET accredited program with 7+ years of experience in any Engineering discipline with Construction experience OR.
Senior Distinguished Engineer, AI Compute (Remote Eligible) Capital OneSenior Distinguished Engineer, AI Compute (Remote Eligible)San Francisco, CaliforniaRemoteBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success.
Software Engineer, Early Career Deep InfraSoftware Engineer, Early CareerPalo Alto, CaliforniaThis role is ideal for recent graduates or junior engineers who want to grow quickly while working on high-impact, real production AI systems. Implement, optimize, and evaluate AI models using Python, C++, CUDA, and NCCL (previous exposure helpful - deep expertise not required).
Staff Platform Software Engineer Point One NavigationStaff Platform Software EngineerSan Francisco, CaliforniaReal-time software you write or review runs reliably on bare-metal embedded devices and Linux-based devices alike, and you're comfortable installing, wiring, and debugging that hardware in vehicles and HITL rigs when it breaks. As a Staff Software Engineer, you'll own the architecture and design of large parts of this system: turning high-level goals into solid designs, clean APIs, real test plans, and realistic schedules, then executing with minimal oversight.
Staff Systems Engineer, Software Atomic MachinesStaff Systems Engineer, SoftwareEmeryville, CA$170,000–$230,000 / yearAbout This Role: As a Staff Systems Engineer, Software at Atomic Machines, you will architect and develop the software infrastructure that coordinates precision manufacturing equipment, distributed control systems, and robotic platforms. This full-stack technology enables new classes of micromachines to be designed and built by offering manufacturing processes and a materials library that is inaccessible to semiconductor manufacturing methods.
Staff Systems Engineer - Software Systems Atomic MachinesStaff Systems Engineer - Software SystemsEmeryville, CA$170,000–$230,000 / yearAbout This Role: As a Staff Software Systems Engineer at Atomic Machines, you will architect and develop the software infrastructure that coordinates precision manufacturing equipment, distributed control systems, and robotic platforms. This full-stack technology enables new classes of micromachines to be designed and built by offering manufacturing processes and a materials library that is inaccessible to semiconductor manufacturing methods.