Lead the evolution of Google's end-to-end RDMA stack within the High Performance Networking (HPN) team, driving the integration of high-performance networking layers with Parallel File Systems (PFS) and storage servers to shape the efficiency and scalability of Google's hyperscaler platform for next-generation AI/ML training and inference workloads.
Lead and coach a distributed engineering team, fostering innovation while aligning cross-functional groups on goals, priorities, and deliverables.
Design and deploy scalable software and advanced serving architectures, optimizing the LLM serving stack for efficiency and reliability.
Architect performant network transport across various NICs and platforms, tuning the communication stack to accelerate HPC, RDMA, and ML workloads.
Partner with cross-organizational leaders to co-develop roadmaps bridging RDMA, storage, and AI/ML, staying ahead of training and inference advancements.
Senior Staff Radar Modeling Simulation & Analysis Systems Engineer
Architect delivery of capabilities across multiple programs through advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment.
Utilize MSE&A of advanced systems using C++ object-oriented design, advanced data structures and test-driven development.
Develop large scale data analytics, probabilities, and statistics, including design of experiment techniques for evaluation of system and mission performance.
Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, and verifying simulation performance against flight test data.
Research Associate
Rochester Institute of Technology · Posted Sep 20, 2026
Assists with the setup and execution of experiments and laboratory analyses under the guidance of senior researchers
Collects, analyzes, and assists in interpreting data, providing preliminary findings to support ongoing research projects
Participates in the preparation and development of research reports, presentations, and publications to disseminate experimental results and findings
Maintains laboratory equipment and instruments, ensuring they are calibrated, functional, and ready for experiments
Enforces safety protocols and compliance standards in the laboratory to ensure a safe work environment and the proper handling, storage, and disposal of materials and chemicals
Support and scale multi-cloud HPC AI/ML platform infrastructure, manage Kubernetes and Slurm environments, automate provisioning, and optimize GPU resource utilization.
Compensation
The pay range for this position is $100.00 - $100.00/hr.
Responsibilities
Provision and operate large-scale compute environments
Provide technical leadership on high-impact projects, influence and coach a distributed team of engineers, design, develop, test, deploy, maintain, and enhance large-scale software solutions for Google’s accelerator platforms.
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