Top Tech Jobs & Startup Jobs

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.

Design, deploy, and operate large-scale, secure Azure cloud platforms. Own architecture, infrastructure-as-code, automation, AKS operations, CI/CD, security hardening, cost optimization, and observability for production workloads while partnering with development, security, and SRE teams.

Design and ship production-ready machine learning systems by bridging applied research and engineering. Responsibilities include model training, fine-tuning, evaluation at scale, distributed and mixed-precision training, deployment with observability and safeguards, and adapting current research for high-impact production use.

Design, develop, and optimize low-latency trading, pricing, and risk systems. Build market data pipelines, backtesting frameworks, and analytics for production-grade trading platforms. Collaborate with quants and traders, troubleshoot production issues, and maintain system reliability and performance.

Design and govern enterprise-grade application architectures across cloud, integration, and data domains. Partner with stakeholders to translate strategy into scalable, secure solutions; produce architecture artifacts; lead reviews; influence engineering direction; and optimize cost, scalability, and resilience across large application portfolios.

Design and build scalable, cloud-native backend services and APIs in Go. Develop Kubernetes controllers and automation, implement gRPC/REST APIs, integrate databases and messaging (Postgres, Redis, Kafka/NATS), optimize performance and concurrency, and implement testing, monitoring, logging, and CI/CD while collaborating with engineering teams and maintaining documentation.

Design, develop, and maintain automated test frameworks for web, API, and distributed systems. Expand test coverage, embed automation into CI/CD pipelines, validate data with SQL, and collaborate with engineering teams in Agile/Scrum to accelerate reliable software delivery.