• Provide direct Customer Advocacy support by conducting hands-on investigations of reported device malfunctions. • Perform failure analysis and work with software engineers to determine root causes. • Collaborate and communicate with interdepartmental groups—including Regulatory, Quality Assurance, R&D, and Process Engineering—to provide documentation and operational support for device malfunction issues. • Design, improve, and implement complaint investigation processes. • Understand the technical architecture of internally developed applications. • Utilize structured problem‑solving and drive engineering studies using standardized methodologies and statistical data analysis. • Ensure documentation is updated to reflect changes made to a process or product. • Track failures or enhancement requests.

• Driving Comprehensive Safety Assessments: Execute civil safety assessments in accordance with ARP4761 or military safety assessments per MIL-STD-882E. This includes developing System Safety Program Plans (SSPPs), Functional Hazard Assessments (FHAs), Fault Tree Analyses (FTAs), and Safety Assessment Reports (SARs). • Shaping Design Requirements: Collaborate with systems, hardware, and software engineering teams to define safety-critical requirements during the development process. • Reviewing & Refining Designs: Dive deep into design documentation for safety-critical systems, providing expert analysis and feedback to ensure the highest standards of safety. • Mentorship & Leadership: Share your expertise with less experienced engineers, guiding them in safety practices and fostering a culture of continuous learning. • Cross-Team Collaboration: Partner with customers, stakeholders, and organizational leaders to develop plans, solve challenges, and deliver excellence. • Have a self-starter mindset, eager to learn, adapt, and contribute to a positive and innovative work environment. • Use your outstanding communication skills to translate technical issues into actionable insights for a variety of audiences. • Use your exceptional problem-solving skills and a drive to tackle complex, dynamic challenges.

• Design Generative AI systems leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation • Architect Agentic AI frameworks using Lang Chain, Hugging Face, GCP Agent space, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning • Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities • Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering • Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS • Collaborate with high-performance teams to deploy AI systems that redefine industry standards.

• Architect, implement, and refine cutting-edge multiplayer-ready animation systems in and outside of the Unreal Engine • Produce elegant, efficient, and maintainable C++ code • Leverage expert-level understanding of data structures and algorithms to solve interesting challenges • Collaborate with cross-functional teams to deliver innovative animation experiences • Contribute to the development of scalable and robust networking solutions • Tackle and resolve intricate technical hurdles in complex multiplayer games