• You will be the person in charge for all interaction with our partners in the field of Automotive Safety for NVIDIA’s DRIVE programs incl. DRIVE OS, NDAS and the Alpamayo software stacks • You will support our partners to architect, design, integrate and release their automotive ADAS products • You will interface with our partners' safety experts, safety managers, engineering, and test teams to ensure that their integration of our products follows NVIDIA’s recommendations and is compliant with the industry’s state of the art, as well as all relevant safety standards (ISO26262, ISO21448, etc.) • Contribute to the creation and continuous update of NVIDIA’s safety analysis documents (Hazard and Risk Analysis, Development Interface Agreements, FMEAs, Fault Tree Analyses, Safety Cases, etc.) as well as related Safety Plans • You will feed our partners’ requirements and feedback into the development of our new product generations • Align on timelines and contents for NVIDIA’s safety deliveries (incl. requirements exchange, impact analyses, safety manuals, product releases) towards our partners • You will as well track and coordinate their actual deliveries and will align on potential mutual safety assessment scopes and schedules • Act as a point of entry for any safety related technical enquiries into our products, and if necessary, connect our partners and our internal experts to clarify any questions requiring deeper insight • You will interface with NVIDIA’s HW, DriveOS, NDAS safety and process compliance teams

Role Description LightFeather is seeking a Senior Full Stack Engineer to support a federal government client in modernizing critical mission systems for DHS ICE. You will own full stack delivery with a focus on translating complex legacy system behavior into clean, scalable software. - The current environment includes large legacy systems managing operational workflows such as processing, tracking, and encounter management. - These systems carry layers of business rules, manual processes, and tightly coupled functionality. - The core challenge is understanding how they work in practice, identifying mission-critical functionality, and translating it into a modern platform-based architecture. - The client is adopting Palantir as the target modernization platform. This is a Full Time, Remote Position. Location: Fully Remote (EST hours) Job Type: Full-time Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements. Candidates must currently hold an active Public Trust and be able to maintain it. This role does not offer sponsorship for a Public Trust — applicants without a current, active Public Trust will not be considered. Responsibilities - Design, develop, and maintain full stack applications supporting modernization of DHS ICE systems. - Analyze legacy systems and workflows to identify core functionality vs. unnecessary process overhead. - Translate operational requirements into scalable, modern application designs. - Develop backend services, APIs, and integration layers connecting legacy environments to modern platforms. - Build and enhance user-facing components using modern front-end technologies. - Support the full SDLC: analysis, design, development, testing, deployment, and maintenance. - Troubleshoot issues across application, integration, and data layers. - Collaborate with stakeholders to clarify requirements and improve system behavior. - Participate in code reviews and uphold engineering best practices. Qualifications - U.S. Citizenship is required with the ability to obtain and maintain a Public Trust clearance. - Bachelor's degree in Computer Science or related field (or equivalent experience). - 7+ years of hands-on full stack software development experience. - Experience working in complex or enterprise system environments. - Strong experience with Java and frameworks such as Spring Boot. - Experience designing and implementing RESTful APIs. - Experience with front-end technologies including JavaScript, React, HTML, and CSS. - Experience working with relational databases and data access patterns. - Ability to troubleshoot across multiple layers of an application stack. - Experience working in Agile or iterative delivery environments. - Ability to analyze and simplify complex systems and workflows. - Strong systems thinking and problem-framing capability. - Comfort working in ambiguous, poorly documented environments. - Ability to distinguish between essential functionality and legacy process bloat. - Strong ownership mindset and accountability for outcomes. - Effective communication with both technical and non-technical stakeholders. - High learning agility and willingness to adopt new platforms and tools. Preferred - Experience with legacy system modernization or transformation efforts. - Experience supporting federal or mission-driven environments. - Exposure to enterprise data platforms or large-scale system integrations. - Experience working in environments where requirements must be derived from real-world usage rather than formal documentation. Benefits - At LightFeather, you're not just taking a job — you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. - You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. Company Description LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

• Embed with client teams to understand their users and their challenges, then build and extend their product to meet real needs. • Develop custom solutions and integrations that solve concrete client problems. • Translate what you learn from users into clear, actionable feedback for the client's product and engineering teams. • Build and maintain integrations with the services fintech products depend on: payment processors, banking partners, and financial data providers • Build full-stack features that are increasingly AI-powered (LLM-driven workflows, agentic features, and the product around them), using AI across your own workflow to ship faster while keeping quality high. • Support client teams with onboarding, documentation, and training on what you build, so it holds up after you roll off. • Build strong, trust-based relationships with client teams, acting as a technical partner and advocate, not just a contractor.

• Define and drive the technical vision and architecture of AtomEngine, ensuring the platform can support current and future simulation, AI, and modeling requirements. • Lead the design and evolution of core engine systems, frameworks, and developer tooling, establishing patterns that enable multiple teams to build effectively on the platform. • Own architectural decisions spanning engine runtime, editor tooling, performance infrastructure, and platform scalability. • Identify and drive high-leverage investments that improve performance, reliability, maintainability, and developer productivity across the engine ecosystem. • Lead complex technical initiatives that span multiple teams, aligning stakeholders and driving execution from concept through delivery. • Partner with simulation, AI, platform, and product engineering teams to ensure engine capabilities effectively support higher-level systems and organizational priorities. • Establish and champion engineering standards, architectural principles, and development best practices across the engine codebase. • Serve as a technical mentor and force multiplier for other engineers through design reviews, technical guidance, and knowledge sharing. • Proactively identify technical risks, architectural bottlenecks, and scaling challenges, developing pragmatic strategies to address them before they become constraints. • Balance short-term delivery objectives with long-term platform strategy, making thoughtful tradeoffs that maximize both engineering velocity and system health.