The ideal candidate is an experienced software engineer who will be deeply embedded as a valued member of our Data Science team. Your responsibilities will include working with the team to build and deliver R&D analytical solutions to customers and integrate these solutions into an existing cloud ecosystem. You’ll become part of a cross-functional team, applying software engineering, machine learning, and data engineering skills to solve unique RF problems and produce capabilities that separate HawkEye 360 from its competitors.

The right candidate must be a creative problem solver with a desire to constantly expand their knowledge and technical skills by tackling challenging and diverse problems.

As the Software Engineer, your main responsibilities will be:

• Improve and scale algorithm prototypes and early-stage products on AWS cloud
• Liaison with other engineering teams to integrate new products into existing or new data processing pipelines
• Collect, process, analyze, and transform data
• Create technical reports and demos to clearly articulate problems, processes, and solutions
• Integrate solutions into existing codebases

Your skills and qualifications:
Essential education and experience:

• BS, MS or PhD in engineering, mathematics, computer science, physics or related quantitative field, or equivalent experience
• 6+ years of relevant experience with BS, 3+ years with MS, 2+ years with PhD
• 3+ years of Python development experience with common data science libraries such as Pandas, Matplotlib, NumPy, SciPy, and scikit-learn
• 3+ years working with data engineering techniques and cloud computing
• Experience in developing and delivering production-quality software
• A history of scaling solutions to meet increasing demands along the axes of scale and complexity
• Ability to develop and deploy the full range of engineering capabilities needed to support ML models and algorithms, using cloud-based tools like AWS Lambda, Step Functions, ECS, EKS, etc.
• Experience with Kubernetes
• Good analytical and organizational skills
• Clear and effective communication
• Track record of delivering value in a fast-paced iterative product release cycle

Desirable:​​​​​​

• An understanding of fundamental signal processing ideas and techniques, such as linear systems, filtering, time-frequency transforms, etc.
• Background in geospatial and/or RF technologies
• Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research
• 3+ years developing cloud-native products in AWS
• 1+ years of experience with at least one machine learning framework such as PyTorch or TensorFlow
• A basic understanding of ML algorithms used in clustering, classification and representation learning
• Ability to solve programming problems related to data structures, recursion, search/sort, and regular expressions
• Experience using graph databases and graph algorithms

Base Salary Range: $XXXX - $XXXX annually

HawkEye 360 offers a compensation package that includes a competitive base salary plus annual performance bonus and benefits. We consider many factors when determining salary offers, such as candidate's work experience, education, training & skills, as well as market and business considerations. We are also open to considering candidates with experience and qualifications at a different level than required in a job posting, which may affect the compensation package offered.

Company Overview:
HawkEye 360 is delivering a revolutionary source of global knowledge based on radio frequency (RF) geospatial analytics to those working to make the world a safer place. The company operates a commercial satellite constellation that detects, geolocates, and identifies a broad range of signals & behaviors. We employ cutting edge AI techniques to equip our global customers with high-impact insights needed to make decisions with confidence. HawkEye 360 is headquartered in Herndon, Virginia.

HawkEye 360 is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, marital status, national origin, age, veteran status, disability, or any other protected class.

To all recruitment agencies: HawkEye 360 does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, HawkEye 360 employees or any other organization location. HawkEye 360 is not responsible for any fees related to unsolicited resumes.