Track Engineer Jobs

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What You Will Be Doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuously improve reliability and efficiency. Build and maintain runbooks, standard operating procedures, and comprehensive documentation for storage services and automation.<

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 Staff Field Applications Engineer, you play a critical role in building trusted technical partnerships with key customers and ecosystem partners. You will lead account-level technology strategy, guide solution design, and help customers optimize system architectures across Micron’s portfolio. This is a highly visible role that blends deep technical expertise, customer engagement, and cross-functional leadership! Responsibilities will include, but not limited to, the following: Act as a trusted advisor to our customers by providing memory architecture advice, memory product recommendations, delivering technical training, and developing solutions. Regularly visit customers to identify new business, discuss ongoing projects including areas of concern & future needs Provide customer technical support ; be the central point of contact during critical issues between customer and factory teams, work with multi-functional groups until issue resolution has been delivered to the customer Work with internal marketing and development teams to evaluate feasibility of specific new products or features and ensure customer specifications are met. Work closely with Sales to develop and execute a strategic plan & track progress to key objectives </p

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Senior Technical Recruiter - Engineering Location: San Francisco, CA or New York, NY As a Senior Technical Recruiter at Snorkel AI, you will play an instrumental role in identifying, sourcing, and engaging top Engineering talent for our growing organization. Drawing on your deep experience recruiting in fast-paced startup environments, you'll not only find and hire the brightest engineering minds in the market, but also create a candidate experience that reflects our brand and values every step of the way. Our Talent team lives our company values day to day: we put Quality First in every search and every candidate interaction, we're relentless about pushing the frontier of how great startups hire, we treat our hiring managers as true partners in solving their hardest talent challenges, we're Competitive Yet Kind — driven and high-bar, without ego or politics — and everyone on the team has the startup gene, rolling up their sleeves to do the job that needs doing . This is a chance to join a high-caliber, cross-functional team building a generational company. Main Responsibilities Recruiting Strategy: Develop and execute creative, effective strategies for attracting top-tier Engineering talent in a highly competitive market. Own sourcing to build and maintain a robust, consistent, and diverse pipeline of candidates. Recruiting Data: Track and analyze the metrics that matter across the recruiting funnel, using data to continuously improve speed, efficiency

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

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

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 Role The ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model & data pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots! About the Work Design and develop ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models. Develop and maintain continuous testing and monitoring systems for core ML infrastructure components. Develop observability to track ML model lifecycles from data generation to on-road validation. Maintain an in-house ML inference platform to serv

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

We're looking for an Engineering Manager II to own and grow the Observability Pipelines engineering org at a pivotal moment in the product's lifecycle. Observability Pipelines is Datadog's on-premise, vendor-agnostic telemetry pipeline product, with a lot still to build as it grows and scales. It sits at the center of a fast-consolidating market, is central to Datadog's data pipeline optimization story for Logs and Metrics customers. This is a build-and-scale opportunity: you'll grow the management and technical leadership layers, co-own the roadmap with Product, and define how this org operates as it continues to expand. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Directly manage the OP org including EM1s across NYC and Paris, set technical direction, and be the connective tissue across a distributed team Build out the management and technical leadership layers as the org continues to grow - today ~20 ICs Partner directly with Product to co-own the roadmap and strategy, helping decide where OP’s engineering investment goes next Set and evolve the operating rhythm across the group: planning cadence, on-call and incident standards, and cross-team alignment Own key cross-org relationships with the SaaS Logs Pipelines team, the BYOC team, and the Vector open-source community Coach managers and senior engineers, and build the succession and growth plans that let the org scale beyond you Who You Are: Experienced managing managers across distributed teams, with a track record of raising the bar on how those teams operate, not just delivering through them Back

We’re looking for an Engineering Manager to lead our Sensitive Data Scanner (SDS) Telemetry team. The SDS group’s mission is to be the world’s easiest-to-use tool to discover, classify, manage, and report sensitive data risks across cloud, on-premise, and code environments. This team builds and scales the detection capabilities that scan all telemetry data flowing into Datadog — logs, APM spans, and RUM events — operating in streaming, at processing time, and at very large scale. You’ll lead a small, close-knit team based in Paris, with the opportunity to shape how the team grows as SDS Telemetry’s scope expands. It’s a chance to combine hands-on technical leadership with direct customer and product impact in the security and observability space. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a team of engineers building real-time sensitive data detection across Datadog’s Logs, APM, and RUM telemetry pipelines Partner closely with the Logs, APM, and RUM teams, plus Datadog’s Trust & Safety team, to align on roadmap and integration priorities Shape product direction by working closely with Product, grounding decisions in customer needs and business impact Stay hands-on: contribute to design decisions and participate in the team’s on-call rotation Recruit, mentor, and develop engineers as the team grows beyond its initial size Help build a strong engineering culture as part of Datadog’s broader Sensitive Data Scanner group Who You Are: You have experience building and shipping revenue-generating products, with strong product acumen and a customer-first mindset You have hands-on experience with Go and/or Java, and a track record building distributed, streaming systems at scale You have experience managing engineers — or are

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are seeking a Staff Vulnerability Management Engineer to lead the most complex technical work in SoFi’s Vulnerability Management program. You will design and build scalable systems that identify, enrich, prioritize, route, and track vulnerabilities across applications, cloud and infrastructure, containers, software supply chains, and specialized hardware or firmware surfaces. This is a hands-on engineering role with broad technical influence: you will write production code, make architecture decisions, establish vulnerability management standards, and improve how teams understand and reduce vulnerability risk. You will partner with Engineering, Infrastructure, SRE, Compliance, Legal, and business stakeholders to accelerate remediation while protecting engineering velocity and customer trust. You will also serve as a senior technical responder for embargoed disclosures and zero-day events, lead root-cause analysis for high-impact vulnerability incidents, and mentor engineers. The ideal candidate combines deep vulnerability management expertise with strong software engineering judgment, systems thinking, and a bias for durable, measurable outcomes. What you’ll do Lead high-complexity vulnerability management initiatives and make architecture decisions for assigned program areas, from detecti

About the job Help shape the first moments of life for the next generation of AI processors. You'll lead the bring-up and characterisation of Graphcore's silicon devices and system platforms. Your work will ensure products perform reliably before they reach customers. You'll build and lead a team that develops characterisation plans, automates testing, and analyses results across silicon and system platforms. You'll work closely with architecture, silicon, hardware, operations and product teams to solve complex technical challenges. This is a hands-on technical leadership role with the opportunity to influence product design, shape new capabilities, and build a team from the ground up. The team and culture You'll join a newly formed team within Manufacturing Operations and help define how bring-up and characterisation is delivered at Graphcore. Your decisions will shape the team's direction as it grows. The team works closely with colleagues across Bristol, Cambridge and Taiwan. Success comes from solving problems together, sharing data, and making informed engineering decisions. You'll be trusted to take ownership, remove blockers, and improve how work is done. We value people who speak up, challenge assumptions, and turn ideas into practical solutions. What we're looking for Essential Proven track record of delivering technical outcomes as an individual contributor, manager, or project manager, with strong communication and stakeholder management skills. Solid experience in silicon digital device design, bring-up, and characterisation, with a good understanding of silicon process technology and its impact on transistor- and system-level performance. Strong knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR. Experience with measurement automation, data analysis, and developing code or scripts to support automated testing and analysis workflows. Bachelor's degree (or e

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. We are the Customer Engineering team at Micron, where we partner directly with leading datacenter customers to solve complex challenges and bring cutting-edge memory solutions to life. Our work sits at the intersection of innovation and real-world impact—enabling faster computing, smarter systems, and breakthroughs across industries. This role is a key bridge between Micron and our customers. As a Datacenter DRAM Customer Engineer, you’ll act as a primary technical advisor, helping customers design, qualify, and deploy memory solutions that power next-generation compute platforms. You’ll collaborate across engineering, sales, and product teams while influencing both customer success and Micron’s product direction. Responsibilities: Drive design wins and product qualifications for DRAM, HBM, SSD, and compute-focused solutions Partner with sales and cross-functional teams to execute strategic customer plans and track progress Resolve system configuration, setup, and performance issues in customer environments Guide customers on memory architecture, system configuration, and optimization for cloud/datacenter workloads Support validation and deployment through lab activities, design reviews, and system-level testing utilize AI proficiency or AI‑enabled ways of working where applicable Minimum Qualifications: <s

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across Canada. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui