About this role
About the Role Join a talented team building data processing pipelines to support machine learning methods that require access to large RF datasets. Your work will enable products and services that leverage signal processing technology to serve mission-critical applications, with potential impact across the workflow lifecycle in moments that matter. What You'll Do
- Address data security and availability of data as streams
- Manage the distribution of algorithms across cloud infrastructure
- Implement data science algorithms at scale with real-time performance benchmarking and iterative improvement
- Collaborate with designers to ensure responsive backend services
- Leverage leadership skills to develop reusable components and enable collaboration between research and production teams What We're Looking For
- 7+ years experience as a software engineer
- Expert knowledge in Python and NodeJS
- Experience with Linux, DevOps (command line)
- Experience with containerized infrastructure (Docker, Kubernetes)
- Experience managing projects with Jira, Azure DevOps or similar tooling
- Strong written and oral communication skills Nice to Have
- Familiarity with relational and NoSQL databases
- Familiarity with cloud-based infrastructure: Azure and/or AWS
- Familiarity with RF signal processing
- Strong mathematics background, particularly in linear algebra
- Familiarity with regulated environments, such as sovereign clouds Compensation & Benefits
- Target Base Salary Range: $180,000 USD - $200,000 USD per year
- Incentive Bonus Plans, Medical, Dental, Vision benefits, 401K with Company Match, 10 Paid Holidays, Generous Paid Time Off Packages, Employee Stock Purchase Plan, Paid Parental & Family Leave and more!