Track Engineer Jobs

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM, Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As a Senior Software Engineer on this team, you'll work hands-on with a distributed storage system at petabyte scale, and help us evolve our platform to support the next level of scale that will power the AI era. We will move from a custom storage format towards open standards (Parquet, Arrow, DataFusion) enabling on prem solutions, increasingly complex analytical/batch workloads, and powering AI observability, sustainably into the future. You'll partner closely with Husky Ingestion, Metadata, and Platform, and increasingly with Lakehouse on the Iceberg-compatible boundary between Husky and analytical/batch workloads. You will also work with the open source community to build the next generation of reusable software solutions that can be operated at scale. Datadog has a culture that is increasingly rare in mature technology companies. We are an engineering driven, bottom up, high agency/high responsibility culture–where everyone is empowered and expected to drive the technological and strategic direction of the business over time. We are a blameless culture where we believe supporting each other through challenges produces the best outcomes over time and our track record corroborates this. We are open source champions. We believe in the flexibility of working remotely but also the value of bringing people together across our various offices worldwide–and our offices are nice places to work. What You’ll Do: Drive Husky to the next level of adoption by migrating our storage format to open source Parquet and re-imagine compaction on a format-agnostic, Data

📍 Location: Athens, Greece 🏢 Weekly office requirement: Hybrid, 1 day/week, or fully remote 💼 Employment type: Permanent 🪜 Seniority level: Mid-Senior 🌐 Language: All stages of the recruitment process will be conducted in English At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Senior Security Engineer to play a key role in our Security team in Athens . If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. As our Senior Security Engineer you’ll help keep our platform and our customers’ data safe by watching our security tooling closely and acting on what it tells us, as we work towards ISO certification. You’ll join a small security team where you can take initiative and potentially own projects from start to finish. Sounds great, what will I be doing? 🤔 👉 Monitor and triage alerts and logs across our security tools, and take operational action on findings rather than waiting for direction. 👉 Track vulnerabilities end to end, keeping clear records of actions, owners and deadlines across teams. 👉 Help produce the operational evidence for our ISO certification by documenting what we monitor and what we do about it. 👉 Drive decisions on alerts, including web application firewall alerts, working with IT, DevOps, Engineering and Legal. 👉 Contribute to team initiatives, including automating repetitive security work. What do I need to bring with me? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: 👉 Computer Science background: A degree in Computer Science or equivalent practical experience. 👉 Security experience: 4+ years of hands-on experience in security. 👉 Code literacy: You can read code and write scripts to i

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Algorithms Engineer (Senior Level) 5 Work Days Per Week Office Near Tai Seng MRT , Singapore Entitled to Yearly Bonus & Performance Bonus Job Requirements: Master's Degree or PhD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. At least 2-5 years of professional experiences in AI role is required for this post. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Str

NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services. What you will be doing: Leading the overall architecture and design of our distributed storage service optimized for AI/ML Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes. Develop and maintain user-space applications, containers, Go-bindings, and CLI tools. Building features for a distributed storage service to enhance availability and reliability for large-scale deployments Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services. Automating distributed storage service end-to-end, including deployment, management, and monitoring What we need to see: Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8+ years of industry experience Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations Strong track record of delivering distributed services in a variety of distributed computing environments Experience in i

POSITION SUMMARY Natera is seeking a Principal AI Engineer to set technical direction for, and hands-on build of, the Vector Store GenAI Platform that powers document intelligence and retrieval across our Real-World Data (RWD) organization. The platform ingests clinical documents from multiple sources, indexes them for high-quality search, and makes that content available to downstream AI workflows and business use cases across oncology and other clinical domains. This is a principal-level individual contributor role with architecture-plus-build ownership of retrieval, document processing, and ingestion systems. You will define platform strategy and sequencing, ship production code in a cloud environment, raise the reliability and quality of search and retrieval, and prove new approaches through POCs and benchmarks. You will partner with clinical, engineering, and product leaders to turn ambiguous priorities into a clear technical roadmap, establish standards for how retrieval serves agents and re-extraction workflows, and deliver measurable improvements in platform quality and operability—with high autonomy and limited day-to-day direction. The ideal candidate combines deep hands-on engineering with a track record of owning complex AI platforms end to end. You set direction, implement critical path yourself, and elevate the technical bar across the teams that consume and extend the platform. RESPONSIBILITIES Own platform architecture and hands-on delivery for the Vector Store GenAI Platform, including search and retrieval, document processing and chunking, ingestion pipelines, and APIs that serve downstream AI workflows. Set technical direction for hybrid search and retrieval quality; evaluate embedding models and retrieval approaches through working implementations, POCs, and benchmarks, and drive adoption of what works in production. Advance document parsing and chunking so clinical content is indexed in a way that supports accurate, structured, and faceted retri

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: We are looking for a Director of Engineering to lead the team responsible for how customers experience DeepIntent’s AI-powered, agentic platform for healthcare marketers. You will own the mobile apps that bring the platform to our customers end to end, and lead the engineering work behind AI product benchmarking in partnership with the Director of Product Management who owns that program. You will work closely with Product Managers and Engineering Managers and be accountable for the team’s delivery and outcomes. Engineering Leadership: Lead, mentor, and grow engineers and engineering managers, building a culture of ownership, quality, and continuous improvement. Mobile Apps: Own the strategy, architecture, and delivery of our iOS and Android apps, bringing conversational, AI-driven workflows to mobile with a fast, reliable, and secure experience. Mobile Release and Quality: Establish release processes, app store management, crash and performance monitoring, and usage analytics so the apps ship often and reliably. Benchmarking Support: Partner with Product to make AI product benchmarking repeatable, leading the team that builds the test harnesses, data pipelines, and dashboards that track quality, latency, and cost across releases. Product and Engineering Partnership: Work with Product Managers on roadmaps, success metrics, and releases, and with Engineering Managers on APIs, dependencies, and delivery. Execution and Del

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Product Support Engineer II a key member of the support team providing first level assistance to eClinical Solutions’ elluminate® clients. The primary responsibility of this role is to provide support to end-users by identifying, researching, and resolving problems and issues. Communicate directly with customers to gather information, resolve, or escalate issues and manage the support ticket life cycle and has the ability to quickly learn different applications, technologies and apply that knowledge to resolve issues quickly. Throughout the support ticket process, you are responsible for regular updates on ticket status, keeping the customer informed and ensuring customer satisfaction with the support process. KEY TASKS & RESPONSIBILITIES Respond to incoming support tickets and emails in an effective and efficient manner Identify, troubleshoot, and resolve all client problems, questions, and concerns within defined service level agreements (SLAs) Document, track and monitor the client’s problems and issues to ensure a timely resolution Coordinate and manage new software upgrade rollout plans Escalates unresolved problems to Tier 2 technical staff. 24*7 Availability for supporting the clients Train and Mentor, the Product support engineer 1 Provide instruction to users on new product features. Quickly analyze customer problems/issues, walk it through step-by-step resolution procedures, and accurately logs issue details in the issue tracking system. Education Experience: Bachelor’s degree or equivalent work experienc

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. Let’s start by telling you a little bit about Everpure Technical Services. We have 24x7 Support centers in North America, Asia and Europe. You will be part of the best Support team in the industry. How do we know that? Our customers and our NPS number tell us so! The Puritan culture focuses on 5 key values – Persistence, Creativity, Teamwork, Ownership, and Customer First. We hope you share the same values. We are looking for a Technical Support Engineer to join our 24x7 Support team based onsite in Dun Laoghaire, Dublin. You will work on problems of diverse scope where analysis will include hardware, software, and environmental factors within our FlashBlade product. Our Support Engineers utilize their deep technical expertise to troubleshoot customer issues and resolve them. Successful Support Engineers will be able to build strong networks across different departments in the company. SHOULD YOU ACCEPT THIS CHALLENGE…….. Proactively seek to understand customer expectations Answer and resolve support cases across all severity levels Own and track customer issues using our ticket tracking system Own all customer facing communications, ensuring the message is concise and professional Share and document knowledge via FAQ / KB articles, which can be internal or customer facing Mentor junior support engineers through training, and coaching Manage multiple projects/support cases simultaneously Champion customer issues inte

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: Design and develop firmware solutions for manageability and observability of data center servers. Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures Expert-level skills in C/C&

Site Reliability Engineer, #1130 Application Monitoring • Production Support • Incident Management • Splunk • AppDynamics • ITIL • Root Cause Analysis • System Reliability • CBP/DHS Location: Ashburn, VA | Onsite, 5 days per week Shifts: 3:00 PM - 11:00 PM Sun thru Thurs 3:00 PM - 11:00 PM Tues thru Sat 11:00 PM - 7:00 AM Sun thru Thurs 11:00 PM - 7:00 AM Tues thru Sat Flexibility to support alternate shifts when coverage is needed is required. Clearance: U.S. Citizenship is required. Must possess a current CBP Public Trust, DHS clearance, or active Top Secret clearance with a background investigation completed within the past three years. Dev Technology Group is looking for a Site Reliability Engineer to join our mission-focused team supporting critical applications for U.S. Customs and Border Protection (CBP). In this role, you'll help keep essential systems running smoothly through proactive monitoring, incident response, troubleshooting, and coordination with technical support teams. You'll be part of a collaborative team responsible for monitoring applications around the clock, identifying potential disruptions before they become larger issues, and helping maintain the reliability of systems that support important government operations. We're looking for someone who enjoys solving problems, can manage multiple priorities, and remains focused when responding to time-sensitive technical issues. What You'll Be Doing: Monitor mission-critical applications and systems to identify performance issues, service disruptions, and potential outages before they impact operations. Respond to system alerts, troubleshoot incidents, assess severity, and coordinate timely resolution with application, infrastructure, and network support teams. Support the Passenger Services Program Directorate's (PSPD) suite of customer-facing applications, helping maintain system availability and performance. Track, document, and update incidents, including business impact, root cause, co

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. We are seeking a highly motivated Software Development Engineer in Test (SDET) to join the Release Management Team. As a Software Development Engineer in Test on the Release Management team at Zoox, you will help accelerate our software release by ensuring that we are shipping the safest and most reliable software possible. As developers build new features, you will be responsible for developing Hardware-In-Loop tests to support our safety case. These efforts are critical to maintaining our code quality and ensuring our service capabilities are operating as intended. Your ability to understand the overall system design and component interaction to help guide test methodology for functional and safety sign-off is crucial to the overall success of Zoox. Accountability and integrity are core to our team. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. In this role, you will: Lead the design, development and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) tests and testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication. Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites. Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics. Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns. Lead end-

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. Senior Product Integrity Engineer About SharkNinja SharkNinja is a global product design and technology company with a diversified portfolio of lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted global brands, Shark and Ninja, we bring disruptive innovation to market across multiple product categories, creating products that consumers love. 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. About the role We are looking for a technically strong, proactive and detail-oriented Senior Product Integrity Engineer to joi

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer | PhD Holder Only 5 Work Days Per Week Office Near Tai Seng MRT , Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PhD in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning , be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU /

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 Process Control Systems Engineer, you will integrate and monitor key performance indicators across semiconductor manufacturing Defense Line systems, including SPC, FDC, R2R, and other process control applications. You will identify KPI gaps, coordinate CAPA follow-up, track actions through closure, and provide management-level performance visibility. You will also develop dashboards, retrieve and analyze data using SQL and Snowflake, support data digitalization, and participate in AI-enabled manufacturing and analytics projects. This role requires strong analytical thinking, cross-functional coordination, learning agility, and an interest in semiconductor process control and smart manufacturing. Key Responsibilities Integrate and monitor KPIs across different Defense Line and PCS systems. Identify performance gaps and follow up on corrective and preventive actions. Track action owners, due dates, risks, effectiveness verification, and closure status. Develop dashboards for KPI, system health, issue, and CAPA monitoring. Retrieve, clean, transform, and analyze data using SQL and Snowflake. Support AI, machine learning, and advanced analytics applications. Coordinate with process, manufacturing, quality, automation, IT, and global PCS teams. Participate in PCS integration, digitalization, and management-assigned projects. Maintain technical documents, governance workflows, and audit evidence. Qualificati

We are developing advanced multi-rack, multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for datacenter products like GB200. In this role, You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds as part of the CSP engagements team. What you’ll be doing: Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc. Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities. Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests. Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites. Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins). Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters. Proven track record debugging large-scale, cloud-native stacks across ne