Top Tech Jobs & Startup Jobs

Design, develop, and integrate software for autonomous robotic systems using C++ and Python. Build sensor pipelines (LiDAR, cameras, IMUs), implement perception, localization/SLAM, motion planning, and control algorithms, and develop ROS/ROS 2 applications. Use simulation tools (Gazebo, Isaac Sim), integrate with hardware, support field testing, collaborate with cross-functional teams, and mentor junior engineers.

Design and build end-to-end IIoT solutions from edge data acquisition to cloud ingestion and real-time analytics. Architect secure connectivity, edge runtimes, and operational dashboards; translate ambiguous requirements into production-grade systems; perform code and design reviews, troubleshooting, and mentor junior engineers.

Lead design and evolution of large-scale microservices ecosystems on container platforms. Drive service decomposition, DDD, distributed data strategies, resilience, observability, security, and cross-team architecture initiatives for cloud-native transformations.

Lead strategy and tooling for prompt design, agentic workflows, and LLM-based architectures. Build reusable prompt patterns, evaluation frameworks, and developer tooling. Ship LLM products to production, ensure responsible AI practices, and mentor engineers.

Design, execute, and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build and operate distributed training pipelines, construct datasets, run rigorous evaluations, and collaborate with cross-functional teams to deliver production-grade LLM solutions while mentoring junior engineers.

Lead enterprise architecture and long-term technology strategy to design and deliver highly scalable, resilient distributed systems. Serve as technical authority across teams, drive enterprise-scale architectural decisions, mentor senior engineers, and improve system performance, reliability, and cross-team engineering practices.

Design, train, evaluate, and deploy reinforcement learning systems for production decision-making. Build and scale RL training pipelines, design reward functions, work with simulation environments and GPU clusters, and ensure stability, safety, and ongoing improvement of RL policies.

Design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Partner with hardware and EDA teams to accelerate silicon development, improve yield and performance, and deliver scalable compute, automation, and data-pipeline solutions. Mentor junior engineers and drive code and design quality.

Design, build, and operate high-performance inference platforms for large ML models, focusing on request routing, batching, caching, autoscaling, GPU utilization, observability, and performance trade-offs to deliver low-latency, high-throughput production serving.

Optimize throughput, latency, and cost for large-model training and inference across the stack, from kernel and compiler-level work to distributed system tuning. Profile and instrument GPU and distributed workloads, apply model-parallelism and memory-management strategies, and implement model-compression tradeoffs. Collaborate with cross-functional teams, perform code and design reviews, mentor junior engineers, and ship production-quality ML infrastructure improvements.