Track Engineer Jobs

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON We are hiring pioneering and collaborative engineers to build our next generation of intelligent products. Our quality engineers are conscientious hackers who thrive on collaboration and are adept at driving large-scale projects in the fast-changing domain of artificial intelligence. You will be at the forefront of building the automation, tooling, and quality systems that let us ship complex, AI-driven products with confidence, bringing rigor and trust to a data-rich industry. As a Senior Quality Engineer, you are a technical leader with a significant track record of building quality into the engineering process rather than testing it after the fact. You excel at taking ownership of ambiguous, complex, and business-critical quality problems that span multiple teams. You have extensive experience making and influencing key decisions on test strategy, automation architecture, and quality gates, and you possess the deep technical expertise to back them up. You have learned from past challenges, can navigate high-pressure release situations, and are a multiplier for the engineering organization, actively mentoring senior engineers and elevating the quality bar for the entire team. RESPONSIBILITIES Your work will focus on building and scaling our test automation, quality infrastructure, and performance testing systems You'll lead the design and implementation of our core automation

What you’ll do Act as the in-house electrical lead for Midjourney Medical: own the electrical architecture of the scanner and the technical direction for all board-level design. Own complex board design end-to-end: architecture, schematic capture, layout (high-speed digital, analog/mixed-signal, power), DFM/DFT, fabrication and assembly vendor management, bring-up, and revision control. Write firmware for embedded targets (MCU/SoC): drivers, real-time control loops, safety-relevant logic, bootloaders, and field update paths. Audit and update HDL (FPGA) code for high-throughput data acquisition, timing/synchronization, triggering, and pre-processing of ultrasound and sensor data streams. Define electrical interfaces and data contracts with software, recon/ML and mechanical teams: timing budgets, clocking/sync, signal integrity, connectors/harnessing, and failure modes. Establish electrical engineering rigor: design reviews, schematic/layout review checklists, bring-up procedures, test fixtures, and documentation suitable for a regulated medical device program (DHF, traceability, change control). Mentor and grow the electrical function; select and manage external design partners where leverage is high. What we’re looking for Deep experience designing complex boards from blank page to stable revision, including high-speed digital and analog/mixed-signal domains. Strong schematic and layout skills (Altium/KiCad or equivalent) with real signal integrity, power integrity, grounding, and EMI/EMC instincts. Solid embedded firmware background in C/C++ (and Python for tooling): peripherals, DMA, interrupts, real-time constraints, and debugging on hardware. Practical HDL experience (VHDL/Verilog/SystemVerilog) for data acquisition, timing, and streaming interfaces. Track record of owning bring-up and debug on real hardware: scopes, logic analyzers, and disciplined root-cause analysis. Technical leadership: clear trade-offs, strong written documentation, and the ability to set

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Frontend Software Engineer - Coinbase Card Team As a Frontend Software Engineer on the Coinbase Card team within the Consumer Product Group , you'll build and ship the user-facing experiences behind Coinbase's card products, including the Coinbase One Card (credit) and the Coinbase Card (debit). This team is consolidating both products onto a unified card platform, and you'll join a small team with high ownership, greenfield feature work, and direct impact on how millions of customers discover, activate, and use their cards. What you’ll do: Own end-to-end frontend development for core card experiences, including transactions, rewards, onboarding, and account management across web and mobile Build new user-facing features - such as authorized card users, reward offers, real-time transaction status trackers Partner with product, design, and backend engineering to scope, prioritize, and ship projects that reduce CX contact rates and improve the customer experience Identify and resolve frontend performance bottlenecks across card UX journeys, driving measurable improvements in CUJ latency and availability SLOs Required skills and experience: 5+ years of software engineering experience with deep expertise in React and React Native Proven track record of shipping consumer-facing products end-to-end in a high-scale environment, with a focus on performance, reliability

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. About the InfoSec & IT Team The Application Security team helps Affirm build and launch products that earn customer trust, meet compliance obligations, and reduce business risk. We partner closely with product, engineering, infrastructure, risk, compliance, and other teams to identify security risks early, recommend pragmatic mitigations, and help teams find safe paths to launch. We are looking for an early-career Application Security Engineer who is curious, collaborative, and comfortable working with code. You will help assess application risks, support vulnerability management efforts, partner with engineering teams on secure design decisions, and contribute lightweight tooling, automation, and code-informed analysis that helps AppSec scale across Affirm. This role is a great fit for someone who has hands-on software or security experience, enjoys reading and reasoning about code, is actively developing offensive security skills, and wants to apply those skills in a product-minded, risk-based way. What You'll Do Partner with product and engineering teams to identify application security risks and help frame them as clear business risks, launch options, and recommended next steps. Read application code, configuration, pull requests, logs, and documentation to understand how systems work and where security risks may exist. Contribute small code changes, scripts, detections, tests, secure defaults, or automation that improve AppSec workflows and reduce recurring issues. Work in GitHub to review code changes, understand engineering context, participate in pull request discussions, track remediation work, and collaborate with engineers. Help evaluate vulnerabilities from internal testing, bug bounty reports, security tooling, penetration tests, and other sources; partner with teams to pri

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Software Engineer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team of experienced engineers develops core storage and query technologies for observability workloads, including improving storage efficiency, advancing ES|QL query processing and performance, and optimizing data layouts for object storage. This role is responsible for driving the technical vision, architecture, and design of Elasticsearch's core storage and query engine. The ideal candidate has a proven track record of designing high-performance, scalable database or search engine technologies, along with the ability to drive technical initiatives across organizations. Our company is distributed by intention. We hire the best developers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization forma

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. About the Role Reporting to the Infrastructure Director of Engineering, you are a pragmatic security leader who acts as a business enabler rather than a gatekeeper. You thrive in a high-velocity, non-regulated environment where you must define "what good looks like" from scratch and drive security progress with a blend of strong planning skills and strong cross-functional partnerships. You are a technical player-coach who manages the "how" behind engineering initiatives, providing direct guidance to a lean team which needs to navigate trade-offs between quality, depth, and delivery volume. You are just as comfortable planning core initiatives as you are writing a proposal for security program improvements. You have a proven track record of seamlessly integrating security controls within the Software Development Life Cycle (SDLC). Abo

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for an experienced growth engineering leader to build and lead our Growth Engineering team as founding members of our growth initiative. This key leadership role requires deep expertise in driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. Having led growth engineering teams before, you'll be responsible for identifying and executing on growth opportunities across our product surface area, developing experimentation frameworks, and scaling our impact through technical solutions. Key responsibilities Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems Create clarity and direction for the team in a fast-moving, ambiguous environment Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities Take an inclusive, equitable approach to hiring and coaching technical talent Drive the development of scalable systems for experimentation, personalization, and optimization Minimum qualifications Strong technical background in full-stack development with proven success building and shipping growth initiatives Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization Experience recruiting, scaling, and retaining engineering talent in a high-growth environment Excellent leadership and communication skills, with ability to work effectively across functions Demonstra

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 an IT Software Engineer at Micron you will configure, develop, maintain and support Micron and third-party applications. You will create and analyze software specifications, as well as research, design, document, modify, and support software throughout the development life cycle. You must demonstrate the functional and technical skills necessary to switch between development technologies and merge them to provide the best solution. You must have a demonstrated ability to create quality software and participate in quality improvement efforts. You will provide solutions that create business value while at the same time minimizing negative impact resulting from defects, downtime, or performance degradation. Responsibilities: • Develop, maintain, troubleshoot and support software systems for manufacturing semiconductors; these systems schedule, track, manage and report on products produced at World-wide Micron Fabs • Work closely with customers to understand their needs and make suggestions to resolve production and process issues • Collaborate on a world-wide scale in gathering and evaluating customers’ requirements and specifications • Provide incident and problem management for MES systems • Provide technical support to customers as needed for problem identification and resolution • Provide constant update and training to customers and support personnel on applications, tools, uti

P-1580 About Us: The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Senior Software Engineer, AI Native Web Platform on the Web Engineering team, you will build and scale the platform layer that Web Engineering builds on: framework, infrastructure, CI/CD, and deployment pipelines. You will work under the direction of the Staff Software Engineer and contribute to a unified, agentic-ready foundation that shifts platform maintenance from per-surface effort to a centralized, scalable system. The impact you’ll have : Build and scale platform infrastructure including CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations that power all of databricks.com Own accessibility testing in CI, bringing automated a11y validation into the deployment pipeline so accessibility is enforced at every release rather than caught after the fact Implement consent management infrastructure at the platform layer, replacing fragmented per-surface implementations with a centralized, policy-driven system that enforces compliance automatically across all web properties Contribute to tech stack unification: consolidating a fragmented set of frameworks and deployment models onto a shared design system and unified deployment foundation Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them What we look for: 8+ years of software engineering experience with a track record of shipping and operating production web infrastructure Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge

Staff Software Engineer, AI-Native Web Platform GAQ327R228 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. The impact you’ll have : Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Proven track re

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Onboarding team, you'll build the systems that power user onboarding and KYC across every Coinbase product and market. This team enables Coinbase to launch in new countries and ship new products quickly while meeting compliance and regulatory requirements. You'll own backend services that drive onboarding conversion at global scale and shape the architecture that makes rapid expansion possible. What you'll do: Own the design, development, and scaling of backend services in Golang that power onboarding and KYC workflows across multiple products and geographies. Build scalable, service-oriented systems using modern cloud infrastructure and industry best practices to solve novel platform challenges. Drive improvements to onboarding and MTU conversion funnels by identifying bottlenecks and shipping data-informed solutions. Partner with engineers, product managers, designers, and senior leadership to translate product and technical vision into quarterly execution roadmaps. Lead cross-cutting design reviews within your product area, ensuring security, operational integrity, and architectural clarity across all features shipped. Required Skills and Experience: 5+ years of professional software engineering experience building, scaling, and maintaining production backend services in a service-oriented architecture. Proven track record desi

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. Job Summary As a Design Verification Engineer at Micron Technology, Inc., you’ll play a central role in validating complex memory architectures, ensuring speed, reliability, and innovation come together flawlessly. You’ll dive deep into advanced DRAM design, work on high‑density chips, and guide verification strategy from concept to silicon. Responsibilities Verify DRAM and emerging memory architectures through pattern development, regressions, and functional coverage Build and maintain digital and mixed‑signal test benches, vectors, and flows Debug failures, support design teams, track issues, and drive closure Collaborate with global teams Self-motived and team work spirit Minimum Qualifications Bachelor’s degree in Electrical or Computer Engineering or equivalent professional experience Understa

What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking a highly skilled AI Software Engineer to participate in the development of enterprise-grade AI and Generative AI solutions. This role blends deep software engineering expertise with cutting-edge AI/Generative/Agentic capabilities, focusing on building scalable, secure, and high-performance systems that leverage LLMs, agentic workflows, and retrieval-augmented generation (RAG). You will collaborate across engineering, data science, and product teams to deliver innovative solutions that transform business operations and customer experiences. If you thrive in fast-paced environments, are passionate about AI, and have a track record of delivering impactful software, we want to hear from you. What’s on Offer at D&B Ireland 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day) Holiday buy & sell (the option to buy or sell up to 5 additional days per year) Flexible working - hybrid model Employee Health Insurance Mental Health Support program Pension Contribution Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement) Life Assurance Educational Assistance Program Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities) At Dun & Bradstreet, we are 6,000 friendly co