Senior Data Reliability Engineer Jobs

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-based, containeriz

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands. What you'll be doing: Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable Contribute to operational standards, documentation, and best practices to improve consistency across sites Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: Bachelor’s degree in Computer Science or related field, or equivalent experience Minimum 5+ years of experience operating and supporting large-scale Linux-based

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework. Your Success Profile What You Will Work On Independently own larged-scoped projects from initial discovery through launch with a focus on outcomes and customer impact Collaborate with a cross functional team to find solutions to customer challenges Improve the performance, reliability, and scalability of our existing systems Promote engineering excellence through technical leadership, knowledge-sharing and mentorship Add capabilities to our high-volume, fault-tolerant processing infrastructure Enhance our testing, monitoring and continuous deployment infrastructure Keep extremely sensitive data compartmentalized and secure How You Will Do Your Work As a Senior Software Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. I

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat

Job Requisition ID # 26WD101388 Position Overview Are you passionate about building scalable backend systems that power mission-critical services? Do you thrive in a fast-paced, innovative environment? Join Autodesk and help us deliver world-class solutions for millions of users worldwide! Roles & Responsibilities Own and Evolve Core Microservices: Take charge of essential microservices that form the backbone of our data platform, working within a professional Scrum team Deliver High-Quality Code: Write clean, efficient, and maintainable code that meets our rigorous engineering standards Drive Performance and Scalability: Proactively identify and resolve issues related to performance, stability, and scalability, ensuring our systems are robust and future-ready Champion Test Automation: Contribute to our automated testing efforts, ensuring reliability and quality at every stage Collaborate Across Teams: Work closely with Product Owners, Scrum Masters, and fellow developers to turn requirements into high-impact microservices that delight our customers Innovate and Experiment: Research and prototype new technologies and patterns to keep our backend architecture at the cutting edge Deliver Results:

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the Marketing pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Senior Software Engineer, you will build the data and measurement foundations that connect consumer acquisition activity across paid media, SEO/AEO, and other growth channels to downstream outcomes such as signup, conversion, and GMV. You will work at the intersection of data engineering and marketing technology, building reliable pipelines, identity and event data systems, attribution and conversion measurement, and integrations across our marketing and data ecosystems. You will partner closely with Engineering, Product, Marketing, Analytics, and Data Engineering so that consent, tagging, identity, and consumer-data requirements are incorporated into measurement architecture from the start. This role is a strong fit for an engineer who enjoys ambiguous cross-functional problems, cares deeply about data quality and operational reliability, and wants to build durable measurement capabilities that help teams understand the effectiveness of consumer growth investments. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the Marketing pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Senior Software Engineer on MPE, you will help shape the architecture, reliability, and evolution of high-traffic consumer web experiences while building the instrumentation and integrations that connect those experiences to Affirm’s growth and measurement systems. You will work across modern web applications, experimentation, Google Tag Manager and server-side GTM integrations, conversion tracking, advertising and marketing APIs, and observability. You will partner closely with Product, Marketing, Analytics, Data Engineering and adjacent platform teams to ensure that web experiences are performant and measurable and that consent, cookies, tagging, and consumer-data requirements are considered from the start. This role is a strong fit for an engineer who enjoys owning complex web systems, solving ambiguous cross-functional problems, and raising the technical quality and operational reliability of the platforms they work on. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proact

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. As a Senior Mobile Engineer focused on device connectivity, you'll help power Beacon's mission by building the native iOS and Android BLE layer that connects our EEG headbands and other wearables to the apps patients and clinicians rely on. Your work will determine how reliably we capture high-fidelity data in homes, clinics, and trial sites. This isn't just another app. You'll build tools that help unlock insights into neurological, psychiatric, and sleep disorders, with the potential to improve lives at scale. Beacon's robust asynchronous work practices ensure a first-class remote work experience, and we also have in-person office hubs in Boston and New York. For this position we will consider candidates based anywhere in the US Eastern time zone. What success looks like As part of our small, mission-driven Mobile Apps Team, you will: Lead development of our native iOS and Android BLE device SDKs. Own connection reliability, data throughput, and battery performance for device communication across a wide range of phones, OS versions, and real-world environments. Partner closely with our Devices team on firmware interfaces, GATT profiles, and device behavior. Expose device capabilities to our React Native applications through clean, well-tested native modules. Own the observability of device connectivity, using telemetry and field feedback from real 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. As a Senior Materials Engineer / Scientist in Advanced Packaging Technology Development (APTD), you will help define and enable the materials foundation for Micron's next-generation memory and advanced packaging technologies, including HBM, 3D memory, and heterogeneous integration. You will find, develop, characterize, qualify, and integrate new materials that make new product architectures possible. You'll also improve performance, reliability, manufacturability, scalability, and cost. You will work with materials science, process development, integration, product, manufacturing, quality, and supplier teams to turn scientific insight into technology impact. We're looking for people who question assumptions, look beyond their own field, and stay with hard, ambiguous problems until they're solved. Direct semiconductor experience is valuable but not required. We encourage candidates from other materials-intensive industries and research institutions to apply. Responsibilities Develop, characterize, qualify, and integrate advanced materials for next-generation memory and packaging technologies. Form hypotheses, design and run rigorous experiments, analyze data, and use the results to guide materials and technology decisions. Investigate materials behavior, including interfaces, adhesion, mechanical response, thermal performance, chemical compatibility, reliability, and process interactions. Drive materials development in areas such as: Polymer composites and encapsulation materials,

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Team: We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake. As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, a

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer sc

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You'll lead engagements from single-node Omnibus installs to large reference architectures built with infrastructure as code (IaC) and configuration as code. You'll also guide migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. In this role, you'll work closely with customers and Git

Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale. The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows. As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams. You will: Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform. Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems. Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management. Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities. Improve the reliability, scalability, security, and developer experience of services that run critical company workflows. Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response. Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders. Ideally, you have: 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems. Experience building and operating production systems with