DSP Research Scientist

Cooperidge Consulting Firm is seeking a DSP Research Scientist for a nationally recognized leader in Advanced Signal Processing in Monterey, CA.

This role is designed for a high-level academic and technical practitioner dedicated to solving the most demanding signal processing problems in national security. You will serve as a Principal Investigator or lead technical collaborator, researching and implementing algorithms that extract intelligence from highly degraded RF environments—characterized by low SNR, heavy interference, and non-stationary conditions. This position offers the opportunity to translate complex customer goals into "mission-critical" software solutions using C/C++ and Python.

Job Responsibilities

• Algorithm Innovation: Research, design, and implement advanced signal processing algorithms for RF-based applications, specifically focusing on detection and estimation theory.
• Principal Investigation: Operate independently as a Principal Investigator (PI) or lead small, agile technical teams to solve high-complexity signal challenges.
• Signal Analysis: Perform deep-dive RF signal analysis, reverse engineering, simulation, and wireless propagation modeling.
• HPC Integration: Support the seamless transition of scientific algorithms into real-time, high-performance computing (HPC) environments.
• Technical Communication: Translate sophisticated technical concepts and research findings into clear, actionable specifications for end-users and senior stakeholders.
• Project Stewardship: Manage customer expectations, provide regular performance assessments, and ensure project milestones align with national security objectives.

Education & Security (Mandatory)

• M.S. in Electrical Engineering, Computer Engineering, or Applied Physics is REQUIRED (Ph.D. highly preferred).
• ACTIVE Top Secret / SSBI Clearance is REQUIRED.
• U.S. Citizenship is REQUIRED.

Core Experience

• Minimum of 2 years of relevant experience (5+ years is highly preferred).
• Expert proficiency in C/C++ and Python for scientific and numerical computing.
• Deep technical background in at least one: Radar Processing, Adaptive Antenna Arrays, Navigation/Geolocation, or Digital Communications.
• Mastery of Linux environments and open-source development toolchains.

Preferred Skills

• Experience with Software Defined Radio (SDR) and RF/baseband architecture.
• Knowledge of modern protocols such as LTE, WCDMA, 802.11, and 802.16.
• Strong understanding of numerical linear algebra.

• Comprehensive health, vision, and dental insurance plans
• Life insurance coverage
• 401(k) retirement plan with company matching contributions
• Paid time off including vacation, sick leave, and holidays
• Opportunities for career growth and advancement