Lead Software Engineer Full Stack Specialist Specialist in San Francisco

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As the Senior Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Lead continuous improvement efforts for our build, release, and test systems, ensuring a robust

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The Device Experience team is building intelligent, desktop-native applications that redefine how people engage with their PCs. These aren’t traditional applications—they’re responsive, local-first experiences that seamlessly surface AI-powered insights, actions, and context, right when and where users need them. You’ll help craft the interface between human intent and machine intelligence—engineering native software that’s deeply integrated with Windows and optimized for performance. This work is core to how HP IQ brings the future of work to life: fluid, adaptive, and powered by intelligence that runs directly on the device. We’re looking for an engineer who’s excited to shape modern, intuitive experiences, and help define how users across HP’s global footprint interact with intelligent systems every day. You’ll lead by example, drive core application architecture, and help shape a flagship product from the ground up. What You Might Do Design and build native Windows applications that are performant, responsive, and polished. Develop on-device experiences that adapt in real time to

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Staff Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Statsig, Guides, and Surveys rely on. As a Staff Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliabilit

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-thr

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Business organization builds the platform that lets organizations move the people they depend on employees, clients, and customers. From the foundational mechanics of a company funding and provisioning a ride to the tailored workflows that get an employee to a client meeting or home after a late shift, we sweat the small stuff to make Lyft the transportation solution businesses build their programs on. As a Staff Software Engineer on the Lyft Business Team, you will act as a critical technical leader, taking holistic ownership of complex systems that span the rider experience, the administrator experience, and the enterprise integrations behind them — defining strategic roadmaps, driving cross-functional alignment, and driving engineering excellence to improve how organizations move their people. Responsibilities: Shape the long-term architecture for systems, taking accountability for both short-term functionality and long-term health Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform's stability, tracking down issues root causes and building preventive safeguards for your immediate scope and beyond. Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of s

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Software Integration Engineer for our Platform Integration team. This is a critical role with impact across the robot lifecycle, from manufacturing to daily operation. The Platform Integration team owns making sure the robot works as one cohesive system. The focus is on the interfaces between subsystems; this role in particular is focused on the software side handling interaction between: OS & software stack; firmware; networking; timing; and calibration. In this role, you will work cross functionally with our electrical, hardware, firmware, and autonomy engineers to support new functionality both in both hardware and software. This includes creating provisioning tools, functional tests, and supporting integration into the autonomy software stack. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Lead system-level debug when an issue crosses subsystem boundaries or no single team can isolate it. Support early integration of new sensor and software component designs by identifying interface requirements, risks, dependencies and required checks. Design and maintain integration tests, test setups, and procedures to ensure subsystems, once combined, satisfy requirements and design intent. Build and maintain the mission-readiness checks used before manufacturing signoff, validation, field testing, or mission use for different robot platforms. Create the tools, checks, and debug guidance that Manufacturing Integration, Validation,

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ's Wireless Technology Team works cross-functionally with Electrical Engineering, Software, Mechanical Engineering, Product Design, Industrial Design, Program Management, and Operations to develop next-generation wearable and AI-connected products. As a Lead RF Systems & Desense Engineer, you will own the RF system architecture from concept through mass production. You will lead RF integration across Wi-Fi, Bluetooth, UWB, NFC and emerging wireless technologies while driving RF desense, coexistence, and wireless performance for highly integrated products. What You Might Do Lead RF system architecture and integration for wearable and mobile platforms. Own RF desense investigations and mitigation across the product lifecycle. Define RF specifications, link budgets, validation plans and performance targets. Lead coexistence strategy for Wi-Fi, Bluetooth, UWB, NFC and other radios. Partner with antenna, EE, FW, ME and silicon vendors to optimize total wireless performance. Perform CST and ADS simula

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join AirSupport helps Airbnb employees stay productive wherever and however they work. Within AirSupport, Executive Support provides a dedicated, high-touch technology experience for Airbnb’s senior leaders and their Executive Business Partners. The team combines deep technical expertise, proactive support, and strong cross-functional partnership across office, remote, travel, event, and other approved environments. Executive Support owns the executive technology experience, working closely with engineering, security, infrastructure, AV, workplace, and other technology partners who own the underlying technologies. The Difference You Will Make As a Senior Executive IT Support Engineer, you will be one of the most senior technical individual contributors within AirSupport and a trusted technology partner to Airbnb’s executive population. You will combine hands-on technical expertise with strong judgment, proactive planning, and cross-functional leadership. You will own complex and sensitive executive technology issues through resolution, anticipate risks before they become disruptions, and lead improvements that make the executive experience more reliable and supportable. Your impact will extend beyond the issues you personally resolve. You will identify patterns in what Executive Support is seeing, connect them to broader employee technology priorities, develop recommendations, and influence the teams responsible for the underlying technology. You will help shape Executive Support technical direction, represent the support perspective in major technology decisions, and identify opportuniti

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ's Connectivity team is seeking an Embedded Firmware Engineer with strong hands-on experience across RTOS and embedded Linux platforms. You'll bring up new hardware, develop and support firmware across core device subsystems, and help scale products from prototype to fleet deployment. A key part of this role is enabling on-device intelligence — bringing AI models, sensing algorithms, and local processing to lightweight, power-constrained devices at the edge. What You Might Do Design, develop, and debug firmware across RTOS and embedded Linux platforms. Lead hardware bring-up — board bring-up, driver integration, and firmware support through to production. Develop and maintain firmware for subsystems such as connectivity, power and other sensors. Integrate lightweight model inference and sensing/proximity algorithms within tight compute, memory, and power budgets. Support fleet-scale deployment: OTA updates, field diagnostics, and post-launch sustainment. Collaborate with hardware, systems, and QA teams to troubleshoot system-level issues and drive root-cause fixes to closure. Ess

Location: San Francisco, CA (Hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems. You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization. This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions. Key Res

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Firmware Validation & Integration Engineer for our autonomy software team. This is a critical role to build robust and scalable validation for our firmware and systems to ensure reliability at every level. In this role, you will work with our electrical, firmware, and autonomy engineers to build the infrastructure and test suites required to validate the system. This includes designing and implementing our Hardware-in-the-Loop (HIL) simulation environments and automation frameworks from the ground up. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Design and build Hardware-in-the-Loop (HIL) systems to simulate vehicle dynamics and sensor data for comprehensive firmware and system-level validation. Develop automated test infrastructure and software tools to exercise multiple embedded platforms throughout our robot system. Interface many layers of our control system including vehicle controls, power management, and motion control to ensure seamless system integration. Implement low-level test sequences and validation algorithms to safely stress-test vehicle components such as batteries, drive-train, and thermal management devices. Collaborate with cross-functional teams to identify edge cases and hardware-software corner cases that impact vehicle safety and performance. We’re excited about you because… BS/MS degree in Computer Science, Robotics, Electrical Engineering, or related technical field. 5+ years of experience in validati

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role & Team We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale. The team owns three critical areas: Data ingestion: Collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses. Data computation: Building distributed computation systems that transform raw data into accurate, timely experiment results. Stats engine: Developing and productionizing the statistical methods that help customers make trustworthy decisions from their experiments. This is not a traditional data engineering management ro

At Scale, we believe that the next frontier of artificial intelligence is embodied. The Physical AI team is focused on building general AI that can reason and act in the physical world. By leveraging Scale’s massive, industry-leading data infrastructure, we are partnering with frontier labs to build Foundation Models for Physical AI that will redefine the future of automation. To support our rapid hardware-software iteration cycles and ensure a world-class R&D environment, we are looking for a Safety Coordinator / Lab Lead to anchor our physical testing operations. Role Overview As the Safety Coordinator / Lab Lead , you will play a mission-critical role in scaling our physical testing infrastructure safely and efficiently. This is a high-impact position where your highest-priority responsibility will be owning the end-to-end execution of safety audits and incident documentation . Operating at the intersection of cutting-edge AI foundation models and complex robotics hardware, you will ensure our researchers, engineers, and autonomous systems interact in a secure, compliant, and highly organized environment. Core Responsibilities Priority Focus: Safety Audits & Incident Documentation Rigorous Safety Audits: Design, schedule, and execute routine safety audits across all physical testing environments, robot cells, and hardware workspaces to ensure continuous compliance with internal benchmarks and industrial safety standards. Incident & Near-Miss Documentation: Own the end-to-end incident management pipeline. Act as the primary point of contact for documenting, archiving, and analyzing any lab incidents, mechanical anomalies, or near-misses. Root-Cause Analysis (RCA): Lead structured post-incident investigations to identify systematic risks, authoring comprehensive RCA reports and implementing Corrective and Preventive Actions (CAPA). Data-Driven Risk Mitigation: Treat safety data as a core operational asset—tracking safety metrics and audit trends to proa