Responsibilities
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- Design, develop, test, and maintain advanced machine learning solutions to enhance the capabilities of EpiSci's Tactical AI applications across various platforms.
- Work with a team of engineers to conceive, develop, and implement machine learning-based methods for high-data rate radar and communication applications.
- Troubleshoot and debug complex issues related to sensors and communications, ensuring robust and reliable operation.
- Contribute novel engineering ideas, algorithms and concepts for new and existing research and development projects.
- Collaborate with cross-functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions.
- Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors.
Minimum Qualifications
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- Education
- Bachelor’s degree in computer science or engineering (electrical & computer, systems and industrial, mechanical, etc.).
- Technical
- Experience in programming languages such as C, C++and/or Rust, and scripting languages such as Python, Julia and/or Bash.
- Extensive experience with computer vision libraries (e.g., OpenCV) and machine learning frameworks (e.g., TensorFlow, PyTorch, Jax/Flax).
- Expertise in machine learning techniques, including supervised and unsupervised learning, and reinforcement should also be experienced with deep learning and neural architectures, such as CNNs, RNNs, GANs, and transformers.
- Deep understanding on continuous and discrete-time signals and systems. The ideal candidate would be well versed in digital signal processing techniques, such as FFTs, STFT, wavelets, Wigner-Ville and Choi-Williams distributions, sample-rate conversions, and multi-rate signal processing.
- Experience with radar and communications signals and associated signal processing techniques. This experience can include (but is not limited to): 4G/5G communications, side link, and military radar systems.
- Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision.
- Integration and test experience on common COTS hardware devices (e.g., Nvidia Jetson, Xilinx RF/MPSOC).
- Additional
- Passion for solving complex problems with little supervision in a fast-paced environment.
- Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment.
- Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams.
- Travel
- Must be willing to travel as projects requires. Estimated average travel is once every other month for between 2 days up to 1 week. (~10%).
- Security
- Must be a U.S. Citizen.
- Must be eligible for a U.S. SECRET security clearance.
Preferred Qualifications
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- Education
- Master’s degree in computer science or engineering (electrical & computer, systems and industrial, mechanical, etc.).
- Technical
- Experience in a hardware description language (HDL), such asVerilog HDL, VHDL.
- Experience with Agile development methodologies and familiarity with CI/CD best practices.
- Experience working with cloud computing platforms such as AWS, Azure, or Google Cloud, and familiarity with edge computing and real-time systems.
- Experience with containers, such as Docker.
- Interdisciplinary background, with evidence of continual learning.
- Publications in top-tier computer vision or machine learning conferences or journals.
- Security
- Current U.S. SECRET security clearance.
EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team.
Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.
