Track Engineer Jobs

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b

We are seeking a Senior Engineer to join MongoDB's growing Fintech Team. This highly visible role is critical to supporting the company's continued rapid growth and will focus primarily on the administration and analysis of our Global Sales Incentive Plans. The ideal candidate is detail-oriented, with strong organizational and time-management skills. Excellent verbal and written communication, along with a collaborative mindset, are essential for working effectively across cross-functional teams and with various levels of management. Please note this role will require weekend availability during quarter-end close and annual plan implementation periods. MongoDB engineering teams take pride in building high-quality software while living our cultural values every day. We value intellectual curiosity and honesty, and we foster an environment that prioritizes collaboration over competition. We are looking to speak with candidates based in Gurugram or Bangalore for our hybrid working model. Responsibilities: Act as an organizational subject matter expert for commissions processing, the Xactly product suite, and individual commission plan components as they operate in the solution Gathering and documenting detailed business requirements Responsible for designing, configuring and managing Xactly platform Writing rules, analyzing results, troubleshooting, and improving processes as needed Create plans and assist in test case creation & testing Collaborate with Sales Operations and Finance teams in user acceptance testing for changes to Xactly system as well as facilitate seamless implementations of new functionality through targeted communications, demos, and the user training Design, develop, test, document, and deploy high-quality technical solutions on the Xactly platform based on industry best practices to solve business needs Trace unexpected results back to their source and diagnose underlying issues. If unable to resolve directly, own coordination and resolution w

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe for autonomous driving. SDMA enables Zoox to rapidly iterate and safely expand capabilities through trustworthy, innovative, and pragmatic safety engineering. As a Platform System Vehicle Test Engineer at Zoox, you will be working as part of a multidisciplinary team to develop and test systems that enable and support our robotaxi, ensuring the safety and performance of the closed-loop drive system. The Platform System Vehicle Test Engineer will have strong technical skills, and a deep understanding of functional safety technical solutions and verification techniques based on ISO 26262 or similar standards. You will be responsible for developing and executing vehicle-level testing for autonomous safety-critical systems. In this role, you will: Develop and execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams such as systems requirements, firmware, software motion controls, vehicle engineering, and operations Interpret complex test data, and strategize the optimal balance between physical vehicle testing and simulation to ensure comprehensive test coverage Analyze system requirements to understand the safety concept Maintain traceability between requirements, test cases, and results Design, develop, and operate the Zoox Robot, test equipment, and instrumentation systems Troubleshoot and debug issues in the field, and trace failures to correct subsystems Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline and continuously improve analysis and reporting. Qualifications: B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering 6+ years of test engineering experience in the automobile, robot

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity At Postman, we are revolutionizing the way developers build, trace, and automate API workflows with Postman Flows , a powerful visual programming tool designed to simplify the development and sharing of API-powered applications. With an intuitive drag-and-drop interface, Postman Flows enables teams to collaborate and showcase their APIs regardless of technical expertise. We are looking for a Software and Systems Engineer to help scale and maintain the Flows runtime system. This system runs mission-critical automations in the cloud, with a focus on low latency, high throughput, and high availability. You’ll play a vital role in developing, deploying, and operating our backend services and infrastructure in a Kubernetes-based cloud environment. We’re looking for an experienced engineer who is excited not only about hands-on building as we ship and iterate on a weekly basis to get our product ready for GA, but who can also serve as a role model and mentor to other engineers. This role involves making key technical decisions and improvements to the system, as well as effectively making impact through influence wit

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. In this role you will Lead and grow the team Manage and coach a team of Technical Support Engineers Set clear expectations for technical depth, response quality, and ownership, and give direct feedback Design a coverage model that works across time zones, including on-call and escalation paths Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes Own and report the team's core metrics: CX, time to resolution, escalation rate, and more Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand

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. The DASG Architecture Lab and Customer Enablement Lab (CEL) teams provide the infrastructure, platforms, and technical expertise required to accelerate technology pathfinding, AI and system workload analysis, memory subsystem characterization, FPGA/LPDRAM prototyping, and customer enablement initiatives. These teams play a critical role in enabling architecture exploration, validation, and teamwork across engineering organizations and external partners. AI Efficiency and Usage is a must. AI proficiency or AI‑enabled ways of working where applicable. Agentic AI and Generative AI usage model is a must. Responsibilities Own the day-to-day bring-up, readiness, maintenance, and operational support of lab systems, racks, benches, test equipment, and reference platforms used by DASG Architecture Lab and Customer Enablement Lab teams. Deploy, configure, and maintain server, GPU, FPGA, client AI, mobile AI, analyzer, and environmental test equipment supporting workload characterization and technology pathfinding activities. Build and maintain stable, reproducible validation environments, including BIOS, BMC, firmware, operating systems, drivers, networking, remote access, and power and thermal configurations. Collaborate with architecture and validation teams to enable memory trace capture, workload analysis, DRAM replay, power and performance characterization, and data-driven engineering decisions. Develop and maintain operational processes for asset tracking, configuration management, equipme

Datadog's Application Performance Monitoring (APM) provides deep visibility into the health, performance, and lifecycle of modern distributed applications, tracing requests from end-user devices (web and mobile) through to backend services. Our goal is to help customers detect root causes faster, optimize application performance, and improve resource efficiency at scale. As the Engineering Manager for APM Serverless, you will help define and deliver the end-to-end serverless APM experience, from auto-instrumentation through troubleshooting, and ensure that OpenTelemetry and Datadog-native customers alike have a frictionless and performant journey. You will also lead efforts to expand coverage of cloud-managed services across providers, ensuring customers can seamlessly trace and monitor critical services in all major and emerging cloud environments. We’re looking for an experienced engineering leader who thrives at the intersection of infrastructure and developer experience. You should care about well-designed APIs, observability-first thinking, and building systems that empower other developers. This is a high-leverage role that will influence how developers across the industry understand and instrument their serverless workloads. 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 a polyglot team of 8-9 engineers and partner closely with Product and Engineering teams across Datadog to deliver industry-leading serverless capabilities that power consistent, scalable, and intuitive instrumentation across languages. Drive a domain that is technically rich: Lambda, Azure Functions, GCP, OTel billing, Rust, durable functions, distributed tracing across managed services. Engineers on this team work

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 Design Verification Engineer to contribute to the unit-level verification of our RISC-V CPU front end—including instruction fetch, branch prediction, and surrounding fetch control structures. As a key individual contributor within our front-end DV team, you will focus on building testbenches, generating stimulus, and developing checkers for complex microarchitectural scenarios. This role is hybrid, based out of Austin, TX 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 Front-End Experience: Solid background verifying CPU front-end blocks—such as instruction fetch, branch predictors (BTB, TAGE, RAS), instruction caches/TLBs, or decode—using SystemVerilog, UVM, and C++. Unit-Level Focus: Hands-on experience building clean, controllable unit testbench environments with precise stimulus and checking. Reusable Design: Pragmatic approach to building transactors, predictors, and scoreboards that can be reused across verification levels. Collaborative Problem Solver: Comfortable working alongside RTL designers to trace and fix misspeculation, redirect, and edge-case fetch bugs. What We Need Unit-Level Verifica

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Celonis Demo Engineering is the creative and technical engine of our Go-To-Market strategy. We are embarking on a high-stakes mission to build the Next-Gen Demo Factory - a world where AI agents and LLMs handle the heavy lifting of demo creation. This transformation is critical not only to maintain our lead in Process Intelligence but to ensure Celonis wins the Enterprise AI market. By feeding operational business context to AI, we enable the world’s largest companies to industrialize AI and unlock real ROI. You will co-lead this transformation within the team, architecting agentic systems and building tools that turn customer business problems into compelling demos for 1,000+ GTM colleagues inside and outside Celonis. The work you’ll do: Architect Agentic Demo Builds: Lead the shift toward "Prompt-to-Demo" workflows, from Atlas mockups to in-product demos with Apollo. You will build and continuously improve AI agents to automate the generation of data stories, UI screens, and configurations from simple business requirements. Elevate Field Delivery & Enablement: Create "Self-Service" agentic tools that allow Sales Reps and Solution Engineers to "chat" with a demo environment. These agents will generate custom talk-trac

Who We Are Inorsa is an AI-first automation platform transforming how mission-critical infrastructure is designed, maintained, and upgraded. We serve telecom, fiber, data centers, and more, automating everything from document ingestion to drawing generation. Our platform helps infrastructure owners build faster, safer, and more cost-effectively. We're a fast-growing, highly technical team solving complex engineering problems. Every member of our team has a direct impact on product quality, customer outcomes, and how infrastructure is delivered now and into the future. Why Now As our agentic platform matures and enterprise deployments deepen, we need a technical leader who can close the gap between AI capability and production-grade reliability. We aren't competing on general intelligence—we're winning by being the deepest AI platform in the engineering vertical. This role is the tip of that spear. What You'll Do Architect Agentic Workflows Design and implement multi-actor state machines using LangGraph, including loops, error-recovery paths, and human-in-the-loop checkpoints Own the observability and evaluation strategy using LangSmith: trace agentic paths, version prompts, and run regression tests against gold-standard engineering datasets Build custom evaluators (LLM-as-judge) and use traces to identify exactly where multi-step agentic chains fail in production Drive Vertical Domain Integration Collaborate directly with structural and telecom domain experts to encode specialized engineering knowledge into agentic tools Translate 30+ years of practitioner tribal knowledge into reliable, production-grade automation Work cross-functionally with engineers, product managers, and field teams to ensure AI outputs meet the accuracy standards required in high-stakes engineering environments Set the Technical Standard Lead by example on AI-native development: Cursor, Claude Code, GitHub Copilot, and equivalent tooling Automate the grunt work of coding to concentrate

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the heart of how Sapience AI reasons. You lead the neuro-symbolic approach that combines symbolic knowledge, structure, and rules with neural and language-model capability, the approach that lets the platform reason over a community’s expertise with both flexibility and rigor. You own the direction of the COGENT architecture: how it fuses the KO (knowledge object) graph and symbolic reasoning with neural models, how it stays trustworthy and explainable, and how it advances over time. You lead a specialized team and partner across research, applied AI, and knowledge graph engineering to turn a hard idea into a working system at the center of MINERVA. Why this role exists Pure neural systems are fluent but can be confidently wrong, and they struggle to explain themselves. Professional communities cannot act on answers they cannot trust or trace. Collective intelligence needs reasoning that is both flexible and grounded. Bringing symbolic structure and neural capability together is one of the hardest and most valuable problems in applied AI. It is also the core of what makes Sapience AI different. The Head of Neuro-Symbolic AI owns that problem. You set the

Hands-On Data Engineering & Platform Leadership We don't need someone who just knows how a data warehouse should work. We need someone who's actually built one. Someone who can open the code, trace the data, understand what's broken, and know what needs fixing. Someone who's worked hands-on with Azure Data Lake, data warehousing, and Medallion Architecture (Bronze → Silver → Gold). Our architecture already exists. Your job is to find what's missing, fix what isn't working, and make the entire thing reliable. You need to be able to do two things exceptionally well. Understand the business. Take a high-level problem, challenge what doesn't make sense, and translate it into something engineers can actually build. Understand the engineering. Get into the code, understand the technical details, make the right architectural decisions, and explain them to someone who doesn't write code. You'll lead a small team of Data Engineers and a Data Analyst, but this is not a role where you simply delegate the technical work. You probably won't thrive here if: Your recent experience is mostly management or advisory work. You can design architecture but haven't built or debugged it yourself. You need detailed technical instructions before you can act. You can explain the technology but not why it matters to the business. You think your responsibility ends when the data reaches the warehouse. What success looks like Every source connects. Every layer works. Every team gets the data it needs. The numbers match. And AI can trust what's underneath. When someone asks, "Can we trust this data?" The answer is yes.

Your challenge As a solution consultant, you get the best of both worlds. You deep dive into one of our industry-specific solutions to improve our OMP software solution and enrich its functionality. You gather input about our customer’s needs and support the project team in implementing and delivering high-quality, fully tested, and well documented solutions. You are responsible for Collecting, formulating, and mapping the business and project requirements to the functionalities in the industry solution. Gathering and deriving new requirements for the industry solution. Continuously improving our industry solution by developing new functionalities. Validating new functionalities with the different stakeholders. Applying your industry solution knowledge to provide support during the implementation phase, from start to finish, together with the customer’s project team. Offering industry solution knowledge in customer project tracks, during and after implementation. About you Essential talents and qualifications: University degree in engineering, business engineering, computer science, or similar. Strong affinity with IT as programming skills are required, including macro coding similar to VBA. Great analytical skills and problem-solving abilities. Good communications skills and able to connect with different stakeholders. A passion for working in a multinational customer-driven environment. A friendly and open approach to working in a team. The flexibility to travel. Bonus points if you have: Experience with SQL. Knowledge of a versioning system. Soft skills · Communicative · Team-player · Collaborative in a global context · Pragmatic · Passionate Hard skills · Programming skills · &n