Track Engineer Jobs

Senior Systems Engineer - Product Owner Company: The Boeing Company The Boeing Company is looking for a Senior Systems Engineer - Product Owner to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . This dynamic team contributes to cutting-edge vehicle health management solutions that enhance mission readiness and operational efficiency across multiple high-profile aerospace platforms. The role offers a unique opportunity to lead efforts in lab testing, requirements development, and advanced Model-Based Systems Engineering (MBSE) practices. By driving system integration, testing, and verification, the Senior Systems Engineer will ensure seamless performance and adherence to stringent customer standards while collaborating with a diverse group of talented software developers, test engineers, and external partners. This position is ideal for professionals passionate about innovative aerospace technologies and solving complex engineering challenges in a fast-paced, mission-critical environment Position Responsibilities: Develop and maintain product roadmaps and system lifecycle plans Develop, document, and verify requirements Develop project schedules and track performance Develop and organize work items for the software team Be responsible for the integration of the components of the GVHMS system to successfully meet customer requirements Coordinate with the customer on a regular basis Document team plans and status, develop meeting agendas and presentations Analyze process compliance and actively work on improvements This position is expected to be 100% onsite. The sel

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your role at Baxter As an Operational Excellence Engineer, you will support improvement projects across Baxter's Deerfield site by leading cross-functional teams, managing project timelines, and helping solve operational challenges. You will work with team members across the business to identify improvement opportunities, facilitate problem-solving activities, and ensure projects stay on track and deliver results. Success in this role will come from your ability to coordinate teams, drive project completion, improve processes, and implement practical solutions that enhance site performance. What you'll be doing Lead and coordinate cross-functional teams to achieve operational excellence and project objectives. Develop project plans, establish timelines, and monitor progress to ensure successful execution. Facilitate continuous improvement initiatives using Lean, Kaizen, Baxter Operating System (BOS), and structured problem-solving methodologies. Drive accountability by ensuring teams complete improve

Key Responsibilities Shall include but not limited to - 1. Allocation of tickets to the team members on agreed timelines. 2. Ensure closure of tickets within the time frame. 3. Having required governance on team like morning briefings day end reporting periodic reviews etc. 4. Prepare & share allocation of resources / duty roaster. 5. Tracking the attendance of team members & sharing the same with HR. 6. Employee Engagement like birthday celebrations recognitions etc. 7. Training of team members 8. Ensure adherence to reimbursement policy leave policy & other company rules & regulations. 9. Submitting reports as required to Operations Manager periodically. 10. Maintain the Par stock spare/tools for day to day consumption. 11. Coordinate with team collect requirement of spares & consolidate the same & share the consolidated requirement with Procurement in the prescribed format (purchase requisition) 12. Follow-up & ensure issue of spares on time 13. Report / inform to Project Head & MIS- with regards to any addition of equipment. 14. Identify & track if any Bar Code is lost/destroyed (as per compliance). 15. Asset mapping identification of historical calls recommend condemnation with all details 16. Ensure proper documentation for all shifting of materials & submission of reports on the same. 17. Follow-up with concerned Nodal Officers for getting the reports / MIS signed off & ensure closure. 18. Ensuring key KPIs of all resources are linked to SLA so that targets are met. 19. Scheduling and implementing the yearly PPM Calendar for all equipment. 20. Perform the PPM as scheduled assign PPM work orders on time to the satisfaction of the Customer as well as to internally accepted Quality Assurance Guidelines. Maintain proper documentations. Address: Chintareddipalem Nellore Andhra Padesh Facility: Narayana Medical College - HTM Qualification: Graduate Experience: 5 - 10 years Source: Sodexo India | Job Code: IJP570143

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

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands. What you'll be doing: Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable Contribute to operational standards, documentation, and best practices to improve consistency across sites Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: Bachelor’s degree in Computer Science or related field, or equivalent experience Minimum 5+ years of experience operating and supporting large-scale Linux-based

NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware. What you’ll be doing: Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals Build and maintain automation to eliminate manual toil and scale output without scaling effort Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation Consult with and provide consultation for peer teams on systems design best practices What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience Experience coding in Python and/or Go. Note : you must be able to produce code without AI assistance during the interview process. Experience with infrastructure automation and distributed systems design Experience developing tools for running large scale private or public cloud systems in production In depth knowledge of Linux systems and Containers A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others. <

We are seeking a Linux Systems Engineer to join our Infrastructure Engineering team, dedicated to supporting high-performance EDA compute farms. You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads. You will drive automation initiatives, and build robust tooling to support a highly available and scalable infrastructure. What you'll be doing: Linux Infrastructure Engineering: Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments. End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g. Ansible and Terraform . Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry. Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads. What we need to see: Linux Internals: 8&#43; years of deep systems engineering experience working with RPM-based Linux distributions. Bachelor's degree or equivalent work experience. Infrastructure as Code: Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus. Virtualization and Container Architecture: Deep understanding of virtualization and container internals

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-

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 | 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 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. 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 / G

As an infrastructure support engineer, your daily responsibilities are integral to ensuring technical excellence and operational efficiency, particularly in cloud environments. Your contribution as a first responder extends to automating day-to-day operations, responding to and escalating production incidents, and assisting development teams in incident resolution. Entry-level consultants jumpstart their careers with our First Year Experience program: A year-long program that starts with Thoughtworks University, an immersive three-week training, plus monthly sessions dedicated to specific topics. And it’s important to call out that we consider tech talent from all walks of life. Whether you’re a computer science major with less than one year of professional experience, a coding boot camp graduate or a career changer who is working toward becoming a support engineer, you have the opportunity to grow in our community of passionate technologists. Job responsibilities Help with finding the root cause of incidents (RCA) and prepare reports to explain what happened and how to prevent it in the future. Assist in communicating with clients about incidents, answering their questions and explaining how issues are being resolved. Work alongside developers and service reliability engineers to improve the reliability of services by writing code for infrastructure and observability. Collaborate with development teams to document responses to different types of incidents and create runbooks (guides for handling common issues). Monitor how products and services are performing based on key performance indicators (KPIs) set by the business and take action when things go off track. Learn, digest and subsequently apply the latest technology thinking from our Technology Radar to solve client problems. Job qualifications Technical Skills You have less than one year of professional experience in technology. You’re eager to learn new technical skills and concepts. You’re curious about moni

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a highly motivated Manufacturing Engineer to define and optimize manufacturing processes, develop production equipment, and provide manufacturing input during product definition for our advanced robotic systems. You will work closely with design, supply chain, and operations teams to establish reliable processes and equipment that meet quality, cost, and delivery requirements. Responsibilities Bridge the gap between initial concept and full production by providing design teams with critical insights on manufacturability, assembly, testing, and tooling. Apply design for manufacturing and assembly (DFM/DFA) principles and resolve manufacturability issues before production release. Define assembly sequences, work instructions, and tooling requirements; establish critical process and quality parameters; and validate processes before production release. Lead manufacturing readiness for new product launches, upgrades, and component changes by coordinating cost targets, resources, and schedules. Provide hands-on technical support and collaborate with external integrators and suppliers during tooling and equipment specification, validation, commissioning, and production ramp-up. Incorporate requirements for safety, product quality, resource utilization, and preventive maintenance into process and equipment design. Collaborate with cross-functional teams to synchronize priorities. Investigate manufacturing defects and process failures, implement corrective actions, and track improvements in yield, cycle time, and cost. Assess the manufacturing impact of engineering changes, update process documentation and tooling, and track risk mitigation actions through implementation. Requirements Bachelor’s degr

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: IEE is the central support organisation for UK, Europe, Africa, the Middle East and Australasia, marketing PlayStation products in +100 countries. The Technical Services department is responsible for all returns and repair of PlayStation products across all SIEE Territories. This includes the collection of defective products from consumers and retailers, product screening and diagnosis, the repair, recovery or reuse of products received, and where required, the distribution of product back to consumers and retailers. The Technical Services department also manages all spare parts activities related to repair, the production of refurbished stock, and owns all relationships with Repair Centres, Swap Centres and Logistics Providers. What you’ll be doing: As Technical Product Support Engineer you will be responsible for the ongoing support of our repair centre operations partners in Europe, Africa, Middle East and Australia. You will provide technical and engineering support, manage the development and implementation of repair improvement initiatives, work with our HQ and wider team on the introduction of new models, new diagnostic tools and equipment, and will track and manage partner performance via a set of established

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood's Security Operations team operates across two distinct disciplines: proactive security — finding threats and vulnerabilities before attackers do — and reactive security — detecting, investigating, and evicting threat actors in real time. Together, these functions form a complete picture of what it takes to protect one of the most active financial platforms in the world. The team operates in an environment of genuine complexity: high-volume security events, sophisticated threat actors, and a constant arms race against adversaries who are increasingly leveraging AI to move faster and go deeper. The threat landscape is changing. AI-powered attackers don't move like traditional adversaries — they are faster, more adaptive, and harder to track with static defenses. Robinhood's approach to this isn't passive. We are building dynamic, intelligent defensive systems designed to detect, deceive, and outmaneuver agentic attackers — and we need a

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations