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, we want to talk to you! About the Role In this role, your main focus will be to work on a variety of QA and triage tasks to assist in the development of our autonomous delivery robot. A primary focus of the role will be to triage the logs of the daily testing runs of the robots conducted in the US. This includes replaying and analyzing specific events as annotated by the testing team, categorizing such events, and working with the software team to evaluate any required improvements. The role could also involve setting up various simulation scenarios for testing within our simulation environment as well as creating maps used by the autonomy stack for navigation. You’re excited about this opportunity because you will… Analyze: Utilize proprietary diagnostic tools and techniques to triage and diagnose robot autonomy issues accurately and efficiently Execute: Take charge of ensuring the prompt analysis of issues, generating reports and data visualizations that effectively prioritize and summarize identified issues Build: Develop and construct diverse scenarios within a simulation environment to test and validate new autonomy features. Additionally, create and maintain a library of scenarios to support comprehensive regression testing Collaborate: Work cross-functionally with Operations, Program Management, and Software Engineering teams to provide an effective feedback loop of identifying, routing, and monitoring key issues across various systems of the autonomy stack Optimize: Streamline and enhance QA processes and workflows Lead: Have opportunities to take end-to-end ownership of QA initiatives, encompassing process establishment, defining metrics, new team member training, execution, quality auditing, and rep
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Modernize business-critical applications through Unix/Linux development, automation and containerization. The Role Capco is looking for a Unix/Linux Developer to support a major application modernization initiative focused on upgrading legacy applications, Unix scripts and their supporting technology. This is a hands-on development role where you’ll modernize and refactor legacy Unix scripts, build automation and help applications transition successfully into modern containerized environments. You’ll work across Unix/Linux, Docker, OpenShift, Kubernetes and AWS, ensuring scripts and application components continue to function reliably as the underlying technology evolves. You’ll work closely with development and technology teams to solve modernization challenges, improve automation and support the successful migration of established applications to more modern, maintainable environments. What You’ll Do Upgrade, refactor and modernize legacy Unix scripts and associated application components to support wider application modernization. Develop and maintain automation using Bash, PowerShell, Python and Groovy, reducing repetitive operational tasks and improving delivery efficiency. Support the containerization and deployment of applications using Docker and Docker Swarm across OpenShift Container Platform (OCP) and Kubernetes environments. Work with AWS and DevOps tooling to support application builds, deployments and migrations into modern environments. Develop and troubleshoot solutions across Linux and Windows environments, working with application technologies including JBoss, Apache Tomcat, Nginx and HAProxy. What We’re Looking For 5–6 years of Unix/Linux development experience, including experience upgrading and refactoring legacy Unix scripts as part of application modernization. Hands-on experience with Docker and containerization, including application deployment to OpenShift Container Platform (OCP) and Kubernetes clusters. Experience working wi
JOB TITLE Linux Support Engineer A Career with point72’s Technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. What you’ll do Actively monitor the Linux Support team’s incident/request queue, set prioritization, and process tickets in a timely manner Perform production releases while adhering to change management guidelines Install, configure, and troubleshoot Linux servers and related hardware/software components Perform in-depth analysis for post impact resolution, RCA, remedial actions, and problem management Manage and troubleshoot AD integrated authentication on Linux servers Manage and troubleshoot existing Ansible playbooks used for configuration management across the Linux environment Collaborate cross-functionally to monitor system performance, analyze system logs, and proactively address issues Create and maintain system documentation including configuration guides, standard operating procedures, and troubleshooting steps What’s REQUIRED 7+ years of experience as a Linux System Administrator in a production environment, with hands-on expertise in Red Hat Enterprise Linux and/or Ubuntu administration, including installation, configuration, performance tuning, troubleshooting, and ongoing support. Ability to manage multiple prio
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the Team Lead for Initiator & Protocol Engineering, you will spearhead the critical bridge between our industry-leading FlashArray and the Linux/VMWare ecosystems. You will drive the performance and reliability of our storage protocol stacks—spanning NVMe over Fabrics and Fibre Channel—ensuring Pure Storage remains the gold standard for enterprise connectivity. Collaborating closely with cross-functional hardware and software teams, you’ll mentor a high-caliber engineering squad to solve complex kernel-level challenges and influence the global Linux upstream community. WHAT YOU'LL DO Own the Protocol Lifecycle: Lead the development, maintenance, and optimization of Linux and VMWare initiator stacks (NVMeoF, FC-SCSI, iSCSI) and target drivers to ensure seamless, high-performance integration with Pure FlashArray. Drive System Resilience: Architect enhancements for Fibre Channel and NIC driver stacks that improve RAS (Reliability, Availability, and Serviceability), specifically focusing on multipathing logic and link health monitoring. Technical Leadership & Mentorship: Guide a team of senior and junior engineers through complex project deliveries, conducting deep-dive code reviews and setting the technical bar for C/C++ and Python development within the kernel space. Solve the Impossible: Act as the final escalation point for the most challenging system-level bugs found in the field or internal testing, u
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. In this role, your primary focus will be on Linux technologies as well as VMware/Nutanix and UCS/Dell hardware Platforms. This role helps define and implement Linux Server technologies and methodologies, which will have a heavy emphasis on automation and a hybrid cloud environment with AI Code Assist, while maintaining operational excellence in multiple world class Data Center environments. Responsibilities and Tasks: Provide day to day technology directions and operations within Infrastructure of Cisco/Dell Server, Linux and VMware platform IT Incident and Request handling and management within service level agreement Maintain IT operations by monitoring of system performance metrics and proactive actions Site expansion and global project execution Propose system or architectural design to improve performance, high availability, scalability and disaster recovery by innovative technologies and roadmap management oncall operational support and escalation Recommended qualifications include (but are not limited to): Recommend English ability of TOEIC higher than 550 grades Major in Computer Science, Information Engineering, Information Management, or related fields Familiarity in programming skills such as Linux shell or Python, produce code with AI assisted Experiences and skills in data analysis tool such as Splunk Experiences and skills in system infrastructure architecture is a plus e.g. VMWare/Nutanix
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline. As we adapt to solve their most pressing issues in latency, performance, and compute cost, we are building a team of software engineers relentlessly focused on low-level optimization and novel compute architectures. This is a team of developers creating software for the far-edge, including streaming ETL pipelines, inference platforms, and various timing critical applications. This role requires an experienced software engineer who is well versed in low-level development in compiled, native languages such as Rust and C/C++. A successful candidate can optimize software for constrained embedded devices or across large-scale distributed systems. You should have strong knowledge of computer architecture and OS internals. Core Responsibilities Develop high-performance software that runs in distributed systems at the edge and in the cloud. Process high-bandwidth sensor and network data streams to deliver real-time insights. Architect optimized, hardware-aware software systems. Collaborate directly with customers to derive and refine requirements. Participate in code reviews, design discussions, and mentor other engineers as needed. What We Value Ability to independently decompose and solve ambiguous, complex problems alongside customers with minimal guidance. Deep knowledge of computer architecture and experience with hardware-software interfaces. Proficiency with Linux and basic IP networking concepts.<
By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major Software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems.Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated — whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA.We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. The Work: Make container startup, checkpoint, and restore dramatically faster for large i
Information Systems Specialist – Public Sector Location: Remote, United States Level: Entry level Salary: $80,000–$100,000 base Requirements: U.S. citizenship and an active Secret clearance Travel: Occasional travel to customer sites Help secure the software that critical systems depend on RapidFort helps organizations reduce vulnerabilities and attack surface in containerized software. Our platform provides curated container images, runtime-based software reduction, and continuous security validation. We work with commercial customers and U.S. government teams operating in security-sensitive environments. We’re looking for an Information Systems Specialist to join our Public Sector team. This is an opportunity to build your technical career while supporting federal and DoD customers and learning container security and software supply chain technology from the engineers who build our platform. If you’ve developed your technical skills through military service, an internship, a co-op, a help desk, or another structured IT setting, we’d like to hear from you. What You’ll Do Support the day-to-day operation and troubleshooting of information systems used in federal and DoD environments. Work with Linux and Windows systems, networking, user access, and system configuration. Investigate customer issues, document your findings, resolve issues within your scope, and escalate complex problems to senior technical or engineering teams. Assist with installation, configuration, patching, system hardening, and security-related tasks. Maintain clear documentation, system inventories, and configuration records. Support compliance activities by gathering information and following established procedures. Learn RapidFort’s platform and develop practical knowledge of container security, vulnerability management, and the software supply chain. What You Bring 0–2 years of professional IT experience. Relevant military service, internships, co-ops, help desk work, and substantial hands-on
Zoox is looking for a vehicle verification and validation engineer for the features on our robot platform. In this role, you will be responsible for validating new functions of Zoox’s ground-up autonomous vehicle. You will be part of a team that develops, validates, and continuously improves the robot’s features and capability to production maturity. You will engage with cross-functional teams and hold yourself, teammates, and the larger organization accountable for meeting requirements. We are looking for an engineer who is passionate about vehicle feature integration and has strong problem-solving skills. In this role, you will: Develop, maintain, and execute the vehicle-level validation plans for all vehicle-level features. Create test cases for all vehicle-level features: both robot and customer-centric. Conduct, document, and analyze all validation test results and issues found in written form. Identify and establish a regression testing suite and cadence for applicable features. Support homologation test case creation and validation. Qualifications BS in Engineering or Associate Degree/Skilled Trade with additional experience. 6+ years in combined hardware/software/systems verification and validation efforts. Experience writing test cases and test reports for feature or vehicle requirements. Experience testing vehicle systems (electrical, mechanical, HMI, dynamic, quasi-static, and inspection). Experience operating development vehicle test assets and modifying onboard software as needed. Familiarity with CAN, Automotive Ethernet, and/or LIN networks and vehicle system architecture Bonus Qualifications Working knowledge of requirements management tools (Polarion, JIRA). Experience diagnosing issues on CAN, Automotive Ethernet, and LIN. Familiarity with LINUX and Python.
About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Data Center Technician to join our team! About the Role: Individuals fulfilling this role will be responsible for managing, maintaining, and optimizing the physical infrastructure of our data center operations. The ideal candidate will have significant technical knowledge of server hardware, networking equipment, power and cooling systems, and structured cabling. This role requires a proactive problem-solver with strong leadership abilities, deductive reasoning, and a focus on operational excellence. What You'll Do: Hardware Deployment & Maintenance: Maintain organizational infrastructure including racking equipment, replacing hard drives and other system components Troubleshoot, repair, and replace defective equipment with minimal supervision Help manage onsite inventory of hard drives, cables, rails and other spare parts RMA defective components Setup, test and activate new equipment via the Linux command line Data Center Operations: Work as Backblaze’s physical presence in Data Center Operations On-call responsibilities requir
Role: Application Reliability Engineer Location: Gurgaon Who we are Graviton Research Capital is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Key Responsibilities and Deliverables The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence. As an Application Reliability Engineer, you will be responsible for: Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime. Monitor trading systems and infrastructure., Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability. Serve as the first line of defense for trading operations. Proactively identify, address recurring issues, and build automation to reduce manual intervention. Improve observability by enhancing monitoring, logging, and alerting systems. Develop and maintain operational runbooks and SLO/SLA metrics. Eligibility and Required Skills Possess a degree in a highly analytical field, such as Engineering, or Computer Science 2-5 years of experience in Python, Shell/Bash scripting. Experience with Linux and shell/bash online tools. Hands-on experience with databases (SQL, NoSQL) Strong problem-solving and analytical skills Excellent communication skills Ability to remain calm and analytical under production pressure Good to have: Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.) Familiarity with distributed messaging (Kafka) and caching systems (Red
About the Team Frontier Systems Foundations, part of Compute Foundations at OpenAI, builds the systems software foundation that turns new compute infrastructure into reliable, usable capacity for frontier model training. Our mission is to make some of the world's largest GPU clusters work reliably for frontier training. We bring new platforms and clusters online, safely maintain installed fleets, and partner with hardware, infrastructure, and research teams to resolve the system-level issues that keep jobs from running. That means building and maintaining the software closest to the machine: Linux and Ubuntu operating-system images, kernels and modules, drivers, packages and repositories, disks and boot configuration, firmware integration, provisioning, and system-level validation. We make these components reproducible, compatible, and safe to operate across heterogeneous fleets. About the Role We are looking for systems software engineers with deep Linux and host-systems experience to build, qualify, and maintain the operating-system foundation for OpenAI's frontier compute fleet. Relevant backgrounds include kernel and module development, Linux distribution or image engineering, package management, firmware and driver integration, disks and boot, and bare-metal provisioning. You'll work closely with hardware engineers, vendors, and infrastructure teams to bring up new platforms, integrate system components, and debug failures across firmware, disks, boot, operating systems, kernels, drivers, and workload interactions. Your work will directly influence how quickly new capacity becomes usable and how reliably large GPU fleets operate. You should be comfortable writing and maintaining production-quality systems software and automation, but we do not expect expertise across every layer. This is an opportunity to go deep on challenging systems problems while building the image, package, qualification, and recovery paths that power the next generation of frontier models
We’re looking for a Systems Engineer to join our globally distributed Trading Infrastructure team. This is an end-to-end role: you will work on full-stack infrastructure tasks — from new site/provider setups and environment bring-up to validation testing, troubleshooting, and performance bottleneck analysis. You will collaborate closely with vendors, network and hardware engineers and take ownership of delivering reliable production-ready setups What You’ll be doing Deliver end-to-end infrastructure setups across regions/colocations: bring-up, validation, and go-live readiness Own the systems side of the stack: Linux servers, OS baseline, automation, configuration, and performance tuning Run and improve testing/validation: connectivity checks, load/performance tests, failure testing, and readiness checklists Participate in investigation of complex issues and bottlenecks across layers (OS/kernel/drivers/dependencies) and drive fixes with network/hardware peers and 3rd party vendors Build repeatable automation and rollout playbooks (Terraform/Ansible, scripting, standards) Improve observability: metrics/logs, dashboards, alert tuning, and latency/performance baselines Strengthen operations: runbooks, incident reviews (RCA), change hygiene, and documentation Participate in scheduled on-call rotations to support trading infrastructure and incident response. What we look for in you: Hands-on production experience with Linux and systems troubleshooting Ability to debug across layers and coordinate effectively with network/hardware engineers Solid networking fundamentals (TCP/IP, DNS, routing basics, MTU, packet loss/jitter symptoms) Automation mindset: bash/Python; Terraform/Ansible experience is a plus Strong written and verbal communication (clear status updates and documentation) Passion for technology and continuous learning Nice-to-Have: Low-latency / performance tuning experience (CPU/IRQ affinity, NIC tuning, etc.). Colocation / provider coordination ex
This is a temporary, full-time position with full benefits, with an expected end date of 12 months from hire. This position is based on site in Los Angeles, CA 90094. Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Our Fleet Management team is the core of Nuro’s vehicle operations and customer experience. We are the customer support specialists, autonomous vehicle technicians, and vehicle operators who test, maintain, and ensure the operational readiness of our fleet. The Associate Fleet Technician is a critical, entry-level technical role that provides the foundation for our vehicle operations. You will be instrumental in keeping our autonomous fleet on the road, learning the basics of maintaining sophisticated hardware and software systems. This role is perfect for a mechanically inclined individual who is eager to transition into the fast-paced world of robotics and autonomous vehicles. About the Work As an Associate Fleet Technician, you will: Vehicle Readiness & Maintenance: Execute daily and weekly preventive maintenance checks (PMs) and tasks to ensure maximum vehicle up-time. System Diagnostics & Troubleshooting: Perform initial triage and resolution of routine hardware and software issues , and hand off technical issues out of scope. This includes diagnosing basic faults using technical documentation and standardized tools, and providing clear, detailed notes on issues that require escalation for
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