Software Product Reliability Engineer Jobs

Senior Tegra Software Engineer — US, CA, Santa Clara. Apply via Workday.

Senior System Software Test Engineer, Networking — US, CA, Santa Clara. Apply via Workday.

System Embedded Software Engineer — Security — 2 Locations. Apply via Workday.

Job Details: Job Description: Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's oneCCL (Collective Communications Library). This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities. Key Responsibilities Communication Library Development Design, develop, and maintain advanced features and performance optimizations for oneCCL. Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability Implement and enhance communication protocols across multiple layers of the communications stack Cross-Functional Collaboration and Requirements Collaborate with cross-functional teams to define software requirements and technical specifications Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations Partner with hardware teams to optimize software-hardware integration for maximum performance Performance Optimization and Analysis Develop performance optimizations that improve communication latency and throughput Conduct comprehensive performance analysis and benchmarking across different system configurations Debug complex problems spanning multiple layers of hardware and software stack What You'll Work On Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Security Software Engineer on the Production IAM team, you will set the technical direction for how identity and access work across Roblox's production infrastructure, from the mTLS-based identity that services use to authenticate to one another, to the privileged access controls that govern how engineers reach production. The team is accountable for Roblox's machine and workload identity platform, its centralized authorization engine, its production access management platform, production PKI and certificate lifecycle, and just-in-time privileged access for engineers. As an individual contributor in Production IAM, you will define multi-year strategy, drive alignment across Roblox Platform, mentor senior and staff engineers, and personally build the hardest parts of these systems. As AI agents become first-class actors in production, you will also help pioneer how they get identity, prove who they are, and receive safely-scoped access. You will Lead the architecture for production identity and access. Define and evolve the end-to-end design for machine, workload, human, and AI-agent identity across our hybrid on-prem and cloud fleet, making secure access invisible when

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. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud

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. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements. As a Senior Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills: 5 to 8 years of experience Extensive experience on Go/Python/C++ Experience on OS - Unix/Linux and Windows Experience on leveraging AI tools in daily tasks Hands on experience in Networking and Multi-threading Desirable Ski

CPI Security, in Charlotte, NC, is seeking a Full Stack Software Engineer to be part of our growing IT organization. This is an exciting, hands-on delivery opportunity to implement a broad range of key solutions and help lead our growing IT organization, architecting, designing and developing custom web, mobile, Salesforce, and cloud applications. The successful candidate will have strong technical, problem solving, critical thinking, and communication skills. He/She will also want to influence and guide architectural decisions and impact on the overall direction of the App Delivery group. This is an on-site position that will collaborate and grow within the experience Software team at our HQ in Charlotte, NC. Key Responsibilities Perform full stack engineering on both cloud and on prem systems: design, develop, and unit test applications from the UI/UX, business rules, integration, and data layers Maintain and troubleshoot internal SQL projects and existing Integrate and customize third-party PaaS services and applications Create, build, and release definitions to support and improve CI/CD workflows Participate in Scrum activities including planning, estimating, standups, and retrospectives Collaborate with IT team and business stakeholders at all levels on project delivery Documentation of technical designs and knowledge base content Job Requirements/Experience 6+ years with CPI’s core technologies and development frameworks: C#, ASP.NET MVC, Web API, ADO.NET, some ORM (EF, NHibernate, Dapper, etc.) - .NET Core Angular, JavaScript, jQuery, HTML, and CSS RabbitMQ or other message brokers T-SQL and database design (normalization, indexing, query optimization) Development and publishing of private Nuget packages Strong Experience with SQL development and design Experience with Apex or Salesforce Development is a plus but not required 2+ years of hands-on Scrum experience Expertise with design patterns and SOLID principles Experience with high scale archit

Salary Range: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role. About the job Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments. As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate. Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments. You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards. This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it. The team and culture You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust. Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar. Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward. What we’re looking for Strong experience in software development, ideally with cloud environments or infrastructure platforms Proficiency in Go, with the ability to design, build and maintain reliable applications Deep Kubernetes experience, including container orchestration and cloud-native development Strong Linux knowledge and confidence troubleshooting complex technical issues A track record of delivering complex technical solutions and

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Frontier models are fungible. Any team can rent the same intelligence we can, and the model we build on today will be replaced within a month. What is not fungible is the infrastructure that decides whether an autonomous system's output can be trusted — evaluation, verification, and the discipline to gate on evidence instead of impressions. Nuro has spent a decade building exactly that discipline for a robot that drives on public roads, and this team turns it inward: we build the platform that lets AI agents operate autonomously inside Nuro's own engineering organization, under the same standard of proof we apply to the vehicle. Our mandate is to amplify the output of every engineer and researcher at Nuro by 100x. Not a better IDE, not a faster build — a change in what a single person can attempt. That number is a target, not a claim, and reaching it depends on one thing above all: autonomous work has to be trustworthy eno

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. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

About the job Build the test strategy that protects Graphcore’s system software releases at scale. As a Staff System Software Engineer, you will shape integration and system testing across firmware, BMC and Linux device drivers. Your work will help create a high quality gate for system software release packages. You will design, build, automate and report tests across complex server class systems. You will also develop reusable tools, pipelines and packaging solutions that help teams move faster with confidence. This role needs deep low level software knowledge and strong system thinking. You will own hard technical areas, guide best practice and stay close to the code. The team and culture You will join a new integration and system test team within System Software QA. The team verifies integrated components across BMC, firmware and Linux device drivers. Work happens close to the hardware, across component teams and QA. You will partner with developers, consult package stakeholders and turn use cases into robust system tests. Decisions are shaped by evidence, clear technical reasoning and ownership. You will be expected to speak up, act fast and raise standards through hands-on leadership. What we’re looking for · Strong experience in low level system testing and integration across complex software and hardware layers. · Deep understanding of RTOS, complex boot logic, Linux and device drivers. · Test development capability using Python and C/C++. · Experience working with hardware, debuggers, CI/CD pipelines and build or integration tools. · Ability to debug cross-layer issues and drive root-cause investigations to lasting corrective actions. · Clear communication skills, with the ability to mentor engineers and document complex technical decisions. While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background m

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 Forward Deployed Engineers (FDEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop. Core Responsibilities Impact: We take on meaningful and challenging projects that change the world for the better. O

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. Build the future of data. Join the Snowflake team. The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our customers want to build powerful models with the ever-increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance, and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure, and enable end-to-end ML workflows. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance. We are looking for outstanding technical leaders who will join our ML Platform team to build the next-generation platform and play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state-of-the-art machine learning and LLM workloads. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation, and unlock the power of AI for thousands of enterprise customers. This position is based in Menlo Park, CA, and Bellevue, WA. RESPONSIBILITIES : Help define and own the roadmap, wor