Track Engineer Jobs

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 Fab16S (Tainan) Track Equipment Manager, you will… Lead and manage a team of equipment engineers to track, monitor, and drive the installation, modification, upgrade, and maintenance of manufacturing equipment. Ensure equipment performance, reliability, safety, and operational readiness are continuously monitored and improved. Drive accountability for uptime, manufacturing impact resolution, and execution of improvement programs through AI-driven analytics, automation, and performance tracking systems . Partner with engineering, manufacturing, and maintenance organizations to ensure timely issue resolution and achievement of operational objectives. Responsibilities and Tasks • Track equipment maintenance budgets, operating costs, and spending trends. Drive cost reduction initiatives using AI-based cost modeling, predictive maintenance insights, and performance dashboards . • Monitor and drive Preventive Maintenance (PM) effectiveness, first-time success rates, MTTR, and spare part utilization. Ensure systematic problem solving through AI-assisted fault detection, RCA tracking, and engineering knowledge systems . • Track and review equipment constraints, OEE performance, throughput, and tool utilization with Process and Manufacturing teams. Leverage AI/ML-driven analytics to identify optimization opportunities and improve operational performance. • Establish, monitor, and review supplier performance metric

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Design Verification Engineer to validate the System Management Controller (SMC) and enable seamless multi-chip integration. In this role, you will design and execute tests, build infrastructure, and debug issues across chiplet-based SoCs. You’ll have the opportunity to work with remote mentorship while contributing to the foundation of scalable multi-die systems. This role is hybrid, based out of Toronto, Ontario, Boston, MA or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Proficient in SystemVerilog, SV-UVM, Python, and C/C++ with strong verification skills. Experienced in writing test plans, building infrastructure, and debugging hardware/software flows. Comfortable working with remote mentorship and distributed teams. Familiar with AI-assisted tools like Copilot, Cursor, and Claude to accelerate verification. What We Need Develop and maintain SMC tests and supporting DV infrastructure. Write, execute, and track test plans for chiplet and multi-chip SoC designs. Use C/C++ to develop tests compiled, loaded, and executed directly on the DUT. Triage, analyze, and debug issues in clos

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As the Manager, GTM Engineering (AI and Automation), you will be key to constructing and maintaining our "Revenue Velocity" engine with a specialized team of architects. In this high impact role, you will report to the Director of Enterprise Systems & Solutions. You will be responsible for the successful technical integration of advanced AI and automation tools throughout our Go-To-Market (GTM) technology stack. This role requires a proactive player-coach who balances thinking strategically about our revenue systems while remaining deeply involved in the creation of durable, data-driven automation frameworks. What you'll do GTM Tech Stack Management: Integrate with and optimize the core Sales and Marketing technology stack (Salesforce, Clay, Rox, Boomi, Salesloft) in alignment with customer-centric initiatives. Workflow & AI Automation: Execute end-to-end automated workflows (lead scoring, routing, alerts) and deploy AI/ML solutions to scale business outreach efficiency. Data Integrity & Analytics: Manage data pipelines and routine hygiene (deduplication, enrichment) across systems; maintain dashboards to track key GTM metrics and deliver forecasting to leadership. Process Execution & Enablement: Work with Program teams to map GTM workflows and drive technical projects from requirements gathering through implementation and user adoption. This role requires 2+ years of people management or relevant leadership experience, such as lead

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. Key Responsibilities: Develop and standardize EMIR methodology that applies consistently across all DRAM products, ensuring alignment, repeatability, and high-quality analysis outcomes Perform static and dynamic EM/IR and PDN analysis using RedHawk or Totem or other industry‑standard tools; identify root‑cause issues such as high‑resistance segments, insufficient via density, and decap deficiencies, and provide clear, actionable recommendations to design and layout teams. Actively leverage AI‑based tools, agentic workflows, and automation frameworks for effective Power-delivery-network (PDN) analysis. Maintain a strong understanding of the full EMIR flow—from netlist preparation, extraction, simulation, and debug to reporting and silicon correlation—and ensure accurate evaluation across operating modes and temperatures. Partner across design, timing, physical implementation, architecture, modeling, and verification teams to understand real switching behavior, develop worst‑case vectors, and standardize analysis expectations across global teams. Collaborate with cross-geographical teams and also EDA tool vendors to evaluate and improve EMIR methodologies, and document Best Known Methods (BKMs) to enhance consistency and correlation across DRAM teams. Develop and maintain dashboards to track EMIR results, monitor trends, and support signoff progression for multiple designs. Qualifications: Master’s degree i

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Sr. Director, AI Engineering Transformation Location: Boston, MA preferred; New York, NY acceptable (On-site) Reports to: VP, Chief of Staff to the CEO Dotted Line: Chief Technology Officer / Chief Engineering Officer Direct Reports: AI Transformation Team (AI Fellows) The Role This is a high-impact leadership role at the intersection of AI, engineering, product quality, and organizational transformation. You will own the strategy and execution of AI integration across SharkNinja's Engineering organization, spanning the full development lifecycle from concept and architecture through design, validation, and production, and extending into reliability engineering, DFM/DFT, test data, and manufacturing engineering. Today, much of this work relies on PowerPoint-based program management, fragmented data, manual analysis, a

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation. You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers. You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databric

At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a Technical Program Manager (TPM) in our Forward Deployed Engineering division, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the FDE practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. The Impact You Will Have Portfolio Success : Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives. Operational Excellence : Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit. Strategic Alignment : Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements. Leadership Hub : Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum. Mentorship : Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact. What We Look For Experience : Extensive experience managing complex technical programs. Experience with Product Management is a plus. Technical Bar : Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire. AI Proficiency : Demonstrated ability to integrate AI tools into program management workflows to drive operational performance. Process Innovation : A track record of enhancing delivery standards and implementing changes that improve operational performance. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Uni

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. You will work at the hardware/software boundary to define how those hardware blocks are initialized, coordinated, and used by the runtime. You will determine how workloads are dispatched, scheduled, synchronized, and executed across the accelerator, while solving complex performance problems through implementation, bring-up, and debugging. This role is hybrid and based in Toronto, ON or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An expert C or C++ engineer with a track record of designing and delivering complex, performance-critical systems. Experienced working close to hardware in low-level, embedded, bare-metal, or accelerator environments and translating hardware specifications into reliable software behavior. Strong in runtime fundamentals, including command execution, scheduling, synchronization, memory movement, resource management, and parallelism. Skilled at debugging and optimizing systems end-to-end, especially at the hardware/software boundary. A technical leader who collaborates effectively across hardware, firmware, compiler, and systems teams and mentors other engineers. What We Need Define the runtime architect

The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our customers to set up or configure specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need. 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: Lead and develop an existing engineering team of 8; building trust, setting technical direction, and establishing a high bar for ownership and execution Own the roadmap and execution for our key signal finding systems Work closely with product management and applied scientists to build an effective detection system and the right evaluation mechanisms to ensure the quality of our signals Build and operate both traditional machine learning and LLM based systems in production at scale Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time Who You Are: Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have Experience with Java, Python or Go, and experience working in a platform-focused team Strong cross-team collaboration and stakeholder management skills Comfortable making significant contributions to product strategy in an ambiguous environment rather than executing a pre-defined roadmap Direct experience building and training M

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us to redefine the future of on-demand delivery. To do this, we're building a world-class Finance Engineering (FinEng) organization across all global markets we support at DoorDash, Deliveroo and Wolt. in which each of our product managers plays a critical role in helping to define and execute our vision to move money accurately and at scale across every market we operate in and ensure finance and accounting compliance. As we grow, billions of dollars in money movements flow through our platform every year and our team makes sure every one of them is understood, trusted, and correctly reflected in the financial books. About the Role Product Managers on the Finance Engineering team need a systems-oriented mindset, platform thinking, and strong cross-functional collaboration. In this role, you will define the strategy and vision for systems that track billions of dollars in company-wide money movement, translate transactions into accounting entries, and accelerate the financial close. You will build scalable, audit-ready automation for complex, high-volume financial activity. This is an opportunity to reshape modern accounting by applying AI to reconciliation, investigations, and incident detection and mitigation. Your products will form a critical part of the company’s financial infrastructure and help earn the confidence of leadership, auditors, and regulators. You're excited about this opportunity because you will… Drive the product definition, strategy, and long-term vision for accounting automation. You own the roadmap Build systems that track billion-dollar-level money movements across the entire company and automatically convert them into accurate accounting entrie

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're building a Forward Deployed Engineering team to close the gap between the value our enterprise customers expect from Cursor and the value they're actually getting. FDEs don't advise, they embed directly with customer engineering teams, build production-grade Cursor workflows, and transfer the habits and culture that compound long after the engagement ends. The measure of success is what's different at day 30, not what got shipped. We're looking for a Regional Director, Forward Deployed Engineering to lead and help scale this team. You'll manage a growing team of FDEs working across our most strategic enterprise accounts, own what makes a world-class FDE engagement, and stay close enough to the work to escalate, coach, and course-correct in real time. You will serve as the primary point of contact for customers, owning both project delivery and the day-to-day relationship, while also identifying and scoping new opportunities. You'll also build our partner FDE track — training and enabling GSI and consulting partners who extend this motion at scale. This is a hands-on leadership role for someone who combines deep technical credibility, strong people management

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. The Director, Priority Support Engineering EMEA reports into the Head of Global Support and owns paid support offerings end-to-end for their designated Region. Operating in an environment of both direct reports and matrixed relationships, the ideal candidate has a proven track record of either leading premium support / designated technical advisory organizations OR selling and positioning technical solutions to enterprise customers in a senior field role, with revenue accountability either way. This role brings together a mix of responsibilities with multiple areas of critical focus. This role maintains relationships at all levels with Customers, Sales Leadership, Solutions Engineering, Delivery Teams, Operations Teams, and Key Partners. They are expected to sustain KPIs across multiple disciplines including Revenue, Attach, Consumption, Retention, and Staffing. Snowflake's paid support offerings are designed to deliver value customers feel, through both quality reactive interactions and proactive, advisory-led engagement, measured on the outcomes that matter to their business. This role leads the regional Designated Support Engineer (DSE) team, the post-sales production support force that delivers Priority Support today and will scale as our paid support portfolio expands.

The Database Monitoring product is one of the fastest growing products at Datadog. We are not only monitoring databases, but providing self-healing loops on to our customers. For instance, we are building an AI agent which detects, remediates, validates, and deploys optimizations. We are seeking ambitious leaders who want to drive these initiatives from the ground up and own the lines of business which rely on them. You will help build and develop engineering teams, partner closely with Product, and help launch new capabilities that deliver measurable value to developers. AI-forward leaders with product engineering backgrounds will thrive in this role. 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: Launch new products and businesses into new markets. Drive adoption and business outcomes alongside technical delivery, using customer feedback and product data to guide investment. Continuously challenge the team to think about new vectors for market penetration. Our goal is to be in the toolkit of every company using a database. Own the roadmap of the Database Monitoring product, with particular emphasis on AI features and developer personas. Hire, mentor, and develop engineering managers and staff engineers across multiple geographies. Who You Are: You have hands-on experience partnering directly with customers to refine product experiences, find product-market fit, and coach teams through the process. You take ownership beyond product delivery, leading the go-to-market strategy and driving adoption and commercial success. You have a proven track record scaling exceptional product engineering teams: hiring, coaching, performance management, and building appropriate team structures. You have experience depl

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Sr. Staff Design Verification Engineer to lead end-to-end verification efforts for our advanced CPU and AI compute platforms. This role is ideal for seasoned engineers with deep expertise in CPU verification who excel at driving complex test plans to closure, mentoring teams, and leveraging modern AI tools to accelerate innovation. This role is hybrid, based out of Boston, Toronto, Ottawa or Santa Clara. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Proven track record leading end-to-end CPU verification across processor cores, caches, interconnects, interrupts, MMU/IOMMU, and cache coherency protocols, with multi-chip and emulation experience a plus. Expert in creating comprehensive test plans and building simulation testbenches using SV-UVM, C/DPI, and Cocotb. Skilled in managing high-volume regression execution, complex failure triage, and driving test plans and coverage metrics to closure. Experienced leader and mentor dedicated to guiding junior engineers and fostering verification best practices across teams. Proficient in leveraging modern AI tools like Copilot, Cursor, Claude, Gemini, and ChatGPT to optimize ver

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We're looking for an experienced technical operator to lead live testing, deployment, and operational validation of cutting-edge autonomous technologies. This role sits at the intersection of engineering and operations, helping ensure new capabilities are safely deployed, thoroughly evaluated, and translated into actionable engineering feedback. You’re excited about this opportunity because you will… Lead and oversee live testing across transport, deployment, and safety validation. Partner closely with hardware, software, and business operations teams to validate new product capabilities while providing guidance and mentorship to junior team members. Conduct and document complex tests for autonomous technologies, evaluating robot behavior, identifying issues, and validating new features and requirements. Provide actionable technical feedback to engineering teams based on test outcomes. Exercise technical judgment during live testing by evaluating robot behavior, assessing operational risk, distinguishing expected behavior from product defects, and determining when engineering escalation or additional validation is required. Develop and implement testing processes, protocols, and checklists that improve the safety, efficiency, and reliability of new products. Utilize internal tools to analyze logs, investigate issues, document findings, and track issues through resolution. Mentor junior team members in structured debugging and documentation practices. Conduct detailed analyses and generate comprehensive reports that identify trends, summarize findings, and provide strategic recommendations to engineering and operations partners. We’re excited about you because… 2+ years of exper