Everwatch-posted 4 months ago
$84 - $105/Yr
MD
251-500 employees

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success. EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

  • Thoroughly test software and work with developers to ensure the best software release.
  • Create a test plan with test cases based on user stories.
  • Use automation to streamline testing processes, generate data, and implement test cases.
  • Document results and communicate defects to the development team.
  • Automate continuous security and performance testing and monitor the health of AI applications.
  • Write code to test and broaden experience in AI/ML application testing.
  • Prototype emergent techniques in algorithmic and hardware system optimizations.
  • Experience with ML Frameworks (e.g., Pytorch, JAX) and compiler tooling (e.g., MLIR) for AI/ML application testing.
  • Experience in Test and Evaluation (T&E) for deep learning software stacks, with emphasis on pre-training and inference of generative workloads.
  • Experience developing validation plans, benchmarks, and test scripts to evaluate stability, performance, and power consumption of hardware systems such as GPU-based HPCs and ASICs.
  • Experience in profiling a diversity of hardware systems such as GPUs, FPGAs, or ASICs for maximizing latency, throughput, and efficiency.
  • Experience with system administration and deploying Machine Learning (ML) or High-Performance Computing (HPC) workloads in production.
  • Experience supporting and debugging AI applications used by internal applied researchers.
  • TS/SCI with a polygraph.
  • Master's degree in a technical field, physics, or mathematics and 5+ years of experience in test engineering or a Bachelor's degree in a technical field, physics, or mathematics and 7+ years of experience in test engineering.
  • Experience implementing GPY programming and distributed/parallel computing algorithms.
  • Experience interacting with internal researchers to help specify benchmarking plans and validation test scripts.
  • Best salaries and benefits packages in the industry.
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