Engineer Senior Jobs

About the Team DoorDash Labs is a team within DoorDash building autonomous delivery robots and other autonomy solutions from the ground up for DoorDash's core delivery platform. If you have a passion for applying autonomy and robotics in a service used by millions of people daily, then we want to talk to you! About the Role We are seeking a hands-on Electrical Engineer to review the design, drawings, and schematics of the electrical systems for our 4-wheeled autonomous delivery robot. This role is responsible for delivering robust, production-ready hardware across high-speed digital design, PCBAs, RF integration, harnessing, and board-level packaging. This is a deeply technical position for someone who can move seamlessly between system-level thinking and detailed circuit execution. You're excited about this opportunity because... Develop electrical systems for a complex mobile robotic platform from concept through production. Lead high-speed digital design efforts (PCIe, MIPI, Ethernet, DDR, multi-gigabit SERDES, etc.). Own PCBA development including schematic capture, stack-up definition, layout guidance, impedance control, and design-for-manufacture. Drive RF integration (Wi-Fi, LTE/5G, GNSS, Bluetooth, RADAR, and LiDAR), antenna placement, layout constraints, and signal integrity. Develop and review cable harness designs, connector selection, grounding strategy, and environmental robustness. Collaborate closely with mechanical engineering on board packaging, thermal management, vibration resistance, and environmental sealing. Define and implement power distribution architecture, battery interfaces, protection circuits, and system monitoring. Ensure compliance with EMI/EMC and regulatory requirements (FCC/CE) (CISPR-25 and FCC Part 15 Class A). Support prototype builds and bring-up, debug hardware/firmware interface issues, root-cause failures, and drive corrective actions quickly. Establish design standards and perform detailed design reviews across the EE team.

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. Location This position needs to be based in the Beijing, China office 3 days a week. No Relocation and Visa Support The Community You Will Join The Notifications team at Airbnb is dedicated to designing and building the core notification systems that deliver seamless and effective notification experiences to our guests and hosts globally. We collaborate with product teams across the company to understand notification needs and empower them through scalable solutions. By leveraging modern technology and thoughtful governance, we strive to enhance guest and host engagement, minimize user fatigue, and drive meaningful business outcomes. The Difference You Will Make We are looking for backend engineers who are passionate about building reliable systems and delivering user impact through their work. You will work in a global collaboration environment to turn product and engineering ideas into production systems. You will contribute to the development and evolution of our notification platform, help improve delivery timing and channel selection, and build scalable solutions that support

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks You will regularly work with Micron’s Business Units to ensure solutions meet or exceed business requirements. In this role you will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. Provide support for technologies maintained within the Unix/Linux compute platforms, including OpenShift Partner globally with Micron IT Operations, Engineering, Security, and Architecture teams across I&O and business units Ensure adherence to SOX, security, and regulatory compliance requirements Drive innovation, automation, and standardization of compute and container platforms Use scripting languages and tools to automate tasks, system builds, and change management (Ansible, shell, Python, etc.) Perform proactive monitoring, health checks, and capacity planning for Linux and OpenShift environments Contribute as necessary to IT project execution Continually work to improve Linux compute, OpenShift environment. Propose and implement system enhancements that will improve the performance and reliability of systems Collaborate with IT Operations Manager to continually improve operations through routine monitoring of system performance metrics, review of system log fil

Salary Range: PLN Range: 260,400 - 352,200 About the job Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch. Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads. You will improve performance, quality and usability across a complex software stack. You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities. You will also help coordinate open-ended technical work across teams. This is a role for engineers who want deep technical ownership and visible impact. As the ML software landscape evolves, you will keep learning and may contribute across other framework teams. The team and culture The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, with a strong focus on usability and performance. Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes. You will collaborate across Graphcore and with open-source communities to deliver software that developers can trust. What we’re looking for · Strong software engineering skills, with the judgement to manage quality, complexity and technical debt. · Experience developing in Python and C++. · Experience in compiler development. · Ability to manage complex technical tasks with cross-team dependencies. · Clear communication skills, with a proactive approach to collaboration and technical leadership. · Interest in AI, ML frameworks, performance optimis

About the Team The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure that sits on the launch path for OpenAI products. Our systems help teams ship safely, evaluate product and model changes in production, and make high-confidence decisions from real-world usage. Statsig began as an independent company built around experimentation, feature management, and product analytics at scale. After Statsig joined OpenAI, the team began the next chapter: bringing that platform expertise and infrastructure into OpenAI as the experimentation and rollout foundation for every product we ship. This is infrastructure with a very direct product consequence. Teams working on ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and shared platform systems depend on Statsig to evaluate configurations, move traffic safely, ingest experiment data, serve analytics, and roll changes forward or back when production reality demands it. We are at a critical point in the platform journey. Adoption is accelerating quickly across OpenAI, and the systems that were already important are becoming load-bearing for how the company launches. The infrastructure needs to stay fast under sharply increasing evaluation volume, reliable when more services depend on it, observable enough to debug quickly, and efficient enough to support OpenAI-wide scale. Recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency across important services. The next phase is to make those gains systematic: a platform that can absorb rapidly growing product velocity while preserving low latency, data quality, operational safety, and developer trust. Based out of OpenAI's Bellevue office, we are a close-knit team that values in-person collaboration, technical depth, operational ownership, and building infrastructure that

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are l

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the Gas Engineer for the Global Facilities & Construction North Asia Regional Department at Micron Technology, you will play an instrumental role in ensuring the latest planning, build, construction, and maintenance of Bulk and Specialty Gas systems across our semiconductor manufacturing sites in China, Taiwan, and Japan. This opportunity is groundbreaking because you will lead the standardization, innovation, and sustainability efforts in a modern industry! Responsibilities and Tasks Offer Technical Support, Direction, and Expertise Offer consultation and support to Site Facilities & Manufacturing teams in North Asia as the Technical Field Subject Matter Expert. Collaborate with internal partners including Technology Development Team, Procurement, Finance, and Legal. Develop, review, and maintain Micron system standards, specifications, and Established Procedures (EPs). Ensure standardization and alignment across the North Asia network for engineering concepts, construction projects, and operations practices. Analyze system builds for performance improvements, efficiency gains, and cost savings. Support sites with problem analysis using standard tools and methodologies. Benchmark engineering guidelines and BKMs within and outside Micron. Stay updated on industry trends, technological advances, and sustainability initiatives. Provide Build and Construction Project Support, Leadership, and Expertise Supp

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Prof

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Engineer you will identify and drive impactful projects to improve the security of Figma’s product, platform, and IT systems. We are hiring for multiple teams within Security Engineering: AI Security, Platform Security, Product Security, and Anti-Abuse. This is a remote first role. You will partner closely with teams across the company and focus on systemic security improvements and risk reduction. You will also participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response. Examples of what you may work on across teams: AI Security Perform technical security assessments, code audits, and design reviews for new AI infrastructure, platforms, and products. Design and develop technical solutions to secure AI models, tooling, debugging workflows, and data pipelines. Advocate for secure practices across Figma’s AI infrastructure, platforms, and data systems. Build the next generation of internal AI-powered access insights and security tooling. Help run penetration testing and offensive security exercises against Figma’s AI infrastructure, platforms, and products. Platform Security Perform technical security assessments, code audits, and design reviews for changes to Figma’s cloud and corporate infrastructure. Design and develop solutions to prevent or mitigate cloud and corporate security risks. Advocate for secure practices within Figma’s cloud and corporate infrastructure. Build platforms and tooling t

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment. RESPONSIBILITIES Design, build, and maintain large-scale distributed data pipelines that ingest, process, and annotate real-world and synthetic audio, so the training and evaluation systems get reliable, high-quality data. Build and optimize the distributed training infrastructure and software for speech-language models in JAX and PyTorch, including the systems that run supervised fine-tuning and reinforcement learning at scale. Build automated evaluation and testing systems that measure accuracy, audio quality, latency, and real-time performance, plus the experimentation infrastructure used to validate every model release. Integrate voice models into production applications and real-time services, write the technical specifications for spoken interactions, and own deployment from prototy

What is JetZero ? Today’s aircraft contribute around 4% of global CO2 emissions, equivalent to the emissions of 200 million cars. This is only going to increase: Air travel is forecasted to double by 2050, while meaningful efficiency gains using current airplanes have hit a wall. JetZero is developing a b lended - wing body (BWB) aircraft . It uses up to 50% less fuel and will be built to accommodate zero-emission hydrogen propulsion. JetZero is the inevitable solution to sustainable air travel. The JetZero Team We are experienced aerospace professionals and engineers, excited about the future. That future will only be possible if we share our vision and what it means to people’s lives: carbon-free flight that ' i s better for both passengers and airlines around the world . As an Avionics Architecture Engineer, you will be responsible for helping create and integrate the full avionics suite for JetZero's aircraft by translating operator and airworthiness requirements, working with the avionics suppliers to implement those requirements, and going through the testing and integration process. You will collaborate closely with other system engineering teams, labs, and technicians to shape the avionics system. JetZero is a place for people who are ambitious, talented, and humble. This role is based in Long Beach, CA reporting to the Demonstrator systems team. What You'll Do: System design and development: system requirement and architecture updates including bus signal reviews, configuration updates, and wiring changes Partner with pilots and system owners (avionics, flight controls, electrical) to capture system needs in avionics and displays Ensure that the Avionics system complies with relevant aviation standards (ARP 4754A, ARP 4761) and regulations (Part 25, Issue papers, etc.) Perform supplier oversight during procurement and development phases Oversee the system integration of the Avionics system and integration within the

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to the next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons, all while shaping the future of connectivity. Role Summary We are looking for a highly driven Hardware Engineer who is passionate about innovation and eager to build extraordinary products. In this role, you will help design next-generation Storage Server solutions, including high-density NAS, SAN, and unified storage systems with real global impact. You will collaborate directly with R&D labs across multiple countries, bringing your expertise, energy, and creativity into every stage of development. We value engineers who think beyond conventional solutions, embrace new challenges, and consistently engineer reliable, high-performance enterprise storage products. Responsibilities Collaborate with a global cross-functional team—inc

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a highly driven Hardware Engineer who is passionate about innovation and eager to build extraordinary products. In this role, you will help design next-generation Ethernet hardware including Cloud Gateways, Gateway Routers, and Switches with real global impact. You will collaborate directly with R&D labs across multiple countries, bringing your expertise, energy, and creativity into every stage of development. We value engineers who think beyond conventional solutions, embrace new challenges, and consistently engineer reliable, high-performance products. Responsibilities Collaborate with a global cross-functional team—including industrial design, RF, layout, mechanical, SI, BSP, thermal, DQA, and product management—to drive new product development from concept through mass production. Lead or contribute to system architecture, owning schematic capture, component selection, and PCB layout review to ensure high-speed signal integrity and robust power design. Rapidly prototype concept hardware for mock-ups and feasibility studies; take a hands-on role in board bring-up, debugging, testing, and validation. Build and execute comprehensive hardware test and validation plans. Diagnose and resolve complex hardware challenges—from early-stage design issues to in-field anomalies—to ensure rock-sol

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software. Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents. In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way. With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space. Our mission has remained the same even as AI has advanced: to e