STR

Lead Algorithm & Signal Processing Engineer

Dayton, Ohio, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Defense, EngineeringIndustries

Requirements

Candidates must possess a Bachelor’s, Master’s, or Doctoral degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline, with a minimum of 5-7 years of relevant work experience depending on the degree level (BS +7 years or MS +5 years). U.S. citizenship and the ability to obtain a Top Secret security clearance are required. Experience in RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering is essential. Proficiency in programming languages such as MATLAB, Python, and C/C++ is also necessary.

Responsibilities

As a Lead Algorithm & Signal Processing Researcher, you will design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, design and implement models and simulations for advanced RF systems, lead small teams and projects, support business development and proposal writing efforts, and collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems.

Skills

MATLAB
Python
C/C++
RF/radar signal processing
optimization
waveform design
electronic warfare
machine learning
adaptive signal processing
AI/ML algorithm development
algorithm development
test & evaluation
model & simulation
systems engineering

STR

AI solutions for national security challenges

About STR

STR develops AI-driven platforms to tackle national security challenges, primarily for government agencies. Their main product, the STR infokit platform, combines data science, AI algorithms, and DevOps practices to deliver real-time insights and decision support. This platform is adaptable for various uses, including command and control systems and object recognition. STR differentiates itself by focusing on creating resilient systems that integrate artificial and human intelligence, providing clients with a significant decision-making advantage. The company's goal is to enhance safety and security through advanced technology while fostering a culture of diversity and creativity among its employees.

Key Metrics

Woburn, MassachusettsHeadquarters
2010Year Founded
$54.9MTotal Funding
GRANTCompany Stage
AI & Machine Learning, DefenseIndustries
501-1,000Employees

Benefits

Flexible Work Hours

Risks

Emerging AI defense startups increase competition, threatening STR's market share.
Budget cuts in defense spending may reduce STR's contracts and revenue.
Reliance on government contracts makes STR vulnerable to policy changes.

Differentiation

STR integrates AI with human intelligence for resilient decision-making systems.
The STR infokit platform offers real-time insights for command and control systems.
STR focuses on diverse perspectives to drive innovation in AI solutions.

Upsides

Growing demand for AI-driven cybersecurity solutions boosts STR's market potential.
U.S. Department of Defense invests heavily in collaborative autonomy, benefiting STR.
Increased government funding for AI R&D creates more opportunities for STR.

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