Role Description DDN is seeking a highly experienced Senior Staff Engineer specializing in AI Data Path & Storage to lead hands-on development and integration of advanced storage systems with next-generation AI inference pipelines. This role involves coding, prototyping, and rapidly iterating on solutions in close collaboration with architects to design and deliver high-performance data movement architectures. - Leverage NVIDIA’s NIXL (Inference Transfer Library) alongside the Infinia Data Intelligence Platform to enable ultra-low-latency, high-throughput data movement across GPU, memory, and distributed storage layers. - Involve workloads including KV cache management and vector database retrieval. - The ideal candidate brings deep expertise in distributed storage, GPU data paths, and large-scale system optimization, with a proven track record of building and shipping production-grade AI infrastructure. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 12+ years of experience in storage systems, distributed systems, or performance engineering. - Proven track record of architecting and delivering large-scale, high-performance infrastructure systems. - Deep expertise in distributed storage architectures (object storage, scalable file systems, or cloud-native storage platforms). - Strong understanding of Linux I/O stack, filesystem internals, and storage protocols. - Extensive hands-on experience with NVMe, SSD optimization, and high-performance storage environments. - Strong experience with RDMA, InfiniBand, or other high-speed data transfer technologies. - Solid understanding of GPU computing concepts and CPU–GPU data movement patterns. - Proficiency in Python and/or C/C++, with advanced debugging, profiling, and performance tuning skills. - Demonstrated ability to optimize latency-sensitive, high-throughput production systems. Requirements - Lead the design and implementation of high-performance data movement pipelines using NVIDIA NIXL across GPU, CPU, and storage tiers. - Architect and drive integration of DDN Infinia with GPU-accelerated inference platforms for large-scale, real-time AI workloads. - Own end-to-end optimization of I/O paths between GPU memory and storage using technologies such as NVIDIA GPUDirect Storage, RDMA, and NVMe-over-Fabrics. - Define and implement multi-tier storage architectures (NVMe, SSD, object storage) optimized for inference latency, throughput, and scalability. - Lead development of advanced KV cache management strategies, including offloading, prefetching, and persistence across distributed storage layers. - Partner with AI/ML engineering teams to optimize inference performance in frameworks such as PyTorch and TensorFlow. - Establish benchmarking frameworks and lead performance tuning efforts for storage and data movement in production inference environments. - Diagnose and resolve complex system bottlenecks across storage, networking, and GPU subsystems. - Influence architecture decisions for distributed inference systems, ensuring scalability, resilience, and efficient data locality. - Drive engineering excellence through best practices in observability, performance monitoring, automation, and reliability engineering. - Mentor junior engineers and provide technical leadership across cross-functional teams. Preferred Skills - Hands-on experience with NVIDIA NIXL or similar data movement frameworks. - Experience with GPU-aware storage pipelines and GPUDirect Storage. - Strong understanding of AI inference systems, LLM serving architectures, and KV cache optimization. - Experience with Retrieval-Augmented Generation (RAG) pipelines and open vector search ecosystems. - Background in high-performance computing (HPC) or hyperscale distributed environments. - Expertise in caching strategies, memory tiering, and data locality optimization. - Experience designing disaggregated compute and storage architectures. What You’ll Work On - Leading the evolution of storage systems into GPU-native data layers for AI inference. - Building next-generation distributed AI infrastructure using NIXL and Infinia. - Driving performance breakthroughs in real-time LLM inference at scale. - Designing storage architectures for large-scale AI datasets and retrieval systems.

Role Description We are looking for a Senior Software Engineer to design, develop, and evolve large-scale cloud-native systems in Java, contributing to architectural decisions across microservices, serverless, and event-driven architectures. You will drive technical initiatives from requirements to production, mentor engineers, optimize performance at scale, and integrate AI-assisted development tools and capabilities into engineering workflows. The role combines strong coding expertise with distributed systems thinking and technical leadership across cross-functional teams. What You Will Do - Design, develop, and maintain scalable, high-performance software systems following modern software engineering best practices; - Participate in architectural decisions and design distributed, cloud-native applications using microservices, serverless, and event-driven architectures; - Drive technical initiatives from requirements through production deployment, translating business problems into scalable technical solutions; - Produce clean, maintainable, well-tested, and well-documented code while promoting long-term codebase health; - Perform code reviews focused on architecture, quality, maintainability, and performance; - Identify performance bottlenecks, optimize production systems, and troubleshoot complex production issues; - Develop internal engineering tools and reusable platform capabilities that improve developer productivity; - Mentor software engineers through technical guidance, code reviews, and knowledge sharing; - Collaborate with product managers, architects, and engineering teams to deliver high-quality solutions; - Leverage AI-assisted development tools and modern AI technologies to improve engineering productivity. Qualifications - 5+ years of professional software engineering experience; - Strong experience developing enterprise-grade software using Java or another modern object-oriented programming language; - Strong understanding of software engineering principles, Algorithms, Data Structures, and Design Patterns; - Experience designing and building Distributed Systems in cloud-native environments; - Experience with modern application architecture, including Microservices, Serverless, and Event-Driven Architecture; - Experience with Docker and Kubernetes; - Experience with CI/CD pipelines and modern software delivery practices; - Experience identifying and optimizing performance bottlenecks in large-scale applications; - Experience leading technical initiatives or mentoring software engineers; - Strong understanding of enterprise application architecture; - Experience integrating AI capabilities or AI-assisted development tools within software engineering workflows; - Excellent analytical, debugging, and problem-solving skills; - Strong written and verbal communication skills; - Ability to work independently while collaborating effectively across distributed engineering teams; - Upper-intermediate English level. Nice to Haves - Experience with AWS cloud services; - Experience with modern database technologies; - Experience with Grafana, Prometheus, or similar observability platforms; - Experience with Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), or intelligent workflow orchestration; - Experience with Amazon Q, Claude, Kiro, or similar AI development tools; - Experience building internal developer tools and engineering platforms; - Experience working on enterprise SaaS platforms; - Bachelor’s or Master’s degree in Computer Science or a related field. Benefits - Remote work & local connection: Work where you feel most productive and connect with your team in periodic meet-ups. - Legal presence in India: Full local compliance and structured work environment. - Competitive compensation in INR: Dedicated budgets for growth, education, and wellness. - Innovative projects: Work with modern technologies and global clients.

Role Description Assist with hands-on development in building a next generation client and account onboarding solution to improve client experience, improve user experience and improve data quality. - Work with a global team. - Design and develop a robust, JavaScript-based user experience using React. - Development will follow an agile methodology and deliverables will include automated tests and documentation. Qualifications - Experience with popular React.js workflows (such as Redux, React hooks, Styled Component). - Familiarity with modern front-end build pipelines and tools. - Experience/Knowledge in React Native (Good to have). - Strong knowledge on HTML5 and CSS (Grid, flexbox, animations). - Proficient in Less or SCSS, Typescript, Javascript. - Having experience on unit test (Jest, React Testing Library). - Knowledge on Promise - Async/Await. Company Description

Role Description Redwire Defense Tech is seeking an experienced Autonomy/AI Software Engineer with a strong background in optimization algorithms, embedded systems, and safety-critical software development, along with deep expertise in C++ and C# for high-performance applications. The Staff Autonomy Integration Engineer will focus on designing and implementing a new architecture that enables advanced algorithms to seamlessly integrate with autonomy products. The solutions developed will be deployed on operational aircraft supporting global missions, requiring robust, reliable, and safety-focused software engineering. Responsibilities - Assist with implementation of the onboard autonomy agent on a Jetson processor, integrating it with the aircraft’s mission system. - Develop customer-facing SDKs and integration kits to support extension and adaptation of the autonomy system. - Build and maintain an ecosystem of utilities, software, and tools for robotics and autonomous systems using both proprietary and commercially available technologies. - Create and maintain documentation and supporting materials for mission systems, SDKs, and associated software and hardware. - Debug, troubleshoot, and resolve issues in embedded environments, ensuring software meets high safety and performance standards. - Maintain rigorous documentation and version control for safety-critical systems, supporting audits and compliance requirements. Qualifications - Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field. - Minimum of 7 years of experience in open systems, preferably within aerospace or unmanned robotics domains. - Proficiency in C++ and Python for embedded software development. - Experience working in Linux environments and with Docker containerization. - Familiarity with communication standards and frameworks such as STANAG, DDS, REST, gRPC, and/or Kafka. - Demonstrated ownership and accountability in solving complex problems within dynamic, high-stakes environments. - Ability to work independently and take full ownership of technical challenges and deliverables. - Strong experience documenting processes and maintaining quality in regulated or safety-critical environments. - Excellent written and verbal communication skills, with a strong customer-focused mindset. Preferred Qualifications - Understanding of unmanned systems or robotics architectures. - Understanding of flight-critical and mission-critical software requirements. - Knowledge of flight behavior and aircraft performance principles. Benefits - Matching 401(k) - Paid PTO - Paid holidays - Medical, vision, and dental insurance - Group Short-Term & Long-Term Disability - HSA and FSA Options - Critical Care Plan - Accident Care Plan - Employee Stock Purchasing Program (ESPP) Clearance Requirements This position may require access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). To comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify a US person’s status under the ITAR and the EAR. Work Environment and Physical Requirements The work environment may involve a standard office setting while also incorporating elements of a production area. Employees will use standard office equipment, including computers, and must demonstrate stamina to sit or stand while maintaining attention to detail despite potential interruptions. The role may require occasional activities such as walking, climbing, stooping, crouching, and bending. Vision is necessary for reading printed materials and a computer screen, while hearing and speech are essential for effective communication both in person and over the telephone. Additionally, the position may necessitate travel by air or automobile. Employees may be required to use personal protective equipment, including safety glasses, safety shoes, and shop coats, to ensure safety in the production environment. Employees may be able to lift up to 30 pounds as needed. Company Description Redwire Defense Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Redwire Defense Tech is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact Human Resources. Continued employment remains on an “At-Will” basis.