• Own software projects end-to-end and develop across the full stack. • Design, prototype, iterate, and ship major software features to build out the core web software application and future software product development. • Write clear and concise software production code in a variety of languages. • Collaborate closely with software product, design, and other software engineers in product requirements to ensure AcuityMD is building the right thing. • Scale AcuityMD's product and team, utilize mature software tooling, best practices, engineering processes, and hiring. • Telecommuting permitted from anywhere in the U.S.

• Play a key role in optimizing system software for Nvidia automotive performance platforms with Safe RTOS • Collaborate closely with Hardware Architecture, DriveOS, Power, and Test teams to track key boot & runtime performance benchmarks • Ensure the software and hardware meet projected targets by closely supervising micro benchmarks and industry-standard benchmarks across IPs • Contribute to developing innovative features in automotive profiling tools with AI assistance • Benchmark the hypervisor and ensure the lowest overhead on ARM systems • Collaborate with the ADAS/AV team in optimizing the next-gen stack from NVIDIA on Tegra platforms.

• Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers • The role centers on distributed systems with a focus on high-performance networking and NVIDIA communication libraries • Benchmarking, profiling, and analyzing the performance to find bottlenecks and identify areas for improvement and optimizations, with a strong emphasis on networking aspects • Developing PyTorch trace-based profiling, analysis, and replaying toolset to aid in benchmarking, debugging, and co-designing network systems for LLM workloads • Collaborating with multiple teams from hardware to software to provide performance analysis insights • Defining performance test plans, setting performance expectations for new technologies and solutions, and working to achieve performance targets.

• Take technical ownership of medium to large-scale web platforms, contributing hands-on while guiding architectural and delivery decisions. • Translate business goals into robust, scalable technical solutions. • Provide technical leadership through mentoring, code reviews, and pairing. • Design and evolve front-end and back-end architectures with a focus on performance, accessibility, security, and maintainability. • Identify technical risks, delivery bottlenecks, and systemic issues proactively. • Champion high-quality engineering practices such as automated testing, CI/CD, and observability. • Operate within Agile, Lean, or hybrid delivery models, adapting processes pragmatically.