Theoretical Computer Science Jobs in Arizona (NOW HIRING)

***Candidates of the United States and have a current DoD TS/SCI security clearance. 

Pay Rate: $160,000 - $240,000

Other Compensation: Top benefits, Plus stock, 401k & Fully Paid Healthcare

Full Relocation Package!

LOCATION

Tucson offers an incredible quality of life where high-tech innovation meets the breathtaking landscape of the Sonoran Desert. With over 300 days of sunshine, you can spend your mornings tackling complex engineering challenges and your evenings enjoying a world-class culinary scene or hiking through the iconic Saguaro National Park.

Preface

This mandate occupies the critical intersection of Digital Signal Processing and Advanced Geolocation Analytics, requiring a practitioner who operates with first-principles mastery in a high-stakes R&D ecosystem. The role demands an elite academic pedigree—ideally a Ph.D. or Master’s in Computer Science or Computer Engineering—to bridge the gap between abstract mathematical theory and the deployment of mission-critical defense systems. To succeed, the candidate must synthesize complex algorithmic research with low-level systems engineering, ensuring that foundational advancements in communications science are effectively formalized into resilient, scalable software architectures capable of real-world national security impact.

The Mission

StaffRight Associates is spearheading an exclusive search for a Senior Systems Architect & Software Engineer to drive the technical evolution of custom digital communication and geolocation frameworks. In this multi-disciplinary R&D environment, you will lead the charge in decoupling complex signal challenges and re-engineering them into high-performance computational solutions. This position is not merely about code production; it is about the structural alignment of advanced mathematics and electrical engineering principles to build robust, front-line defensive technologies that ensure systemic resilience in national security contexts.

Core Technical Objectives

• Synthesize and architect end-to-end software ecosystems that integrate advanced geolocation algorithms with real-world sensor data.
• Engineer high-concurrency back-end services and internal data layers utilizing modern design patterns to achieve maximum throughput and minimal latency.
• Validate system performance through rigorous forensic testing and iterative refinement within a clean room integration lifecycle.
• Formalize API strategies to facilitate seamless orchestration between proprietary internal solutions and third-party mission services.
• Optimize infrastructure via automated CI/CD pipelines, containerization, and cloud-native architectures to ensure rapid, secure deployment.
• Orchestrate cross-functional collaborations with mathematicians and electrical engineers to translate theoretical signal processing models into deployable assets.

Candidate DNA

• Architectural Philosophy: A proven capacity to design software systems with a focus on forensic readability, modularity, and long-term maintainability.
• Technical Polyglot: Expert-level mastery of Golang, with deep proficiency in C++ and Python for high-performance scientific and engineering applications within Linux environments.
• Systems Fluidity: Extensive experience navigating the full scientific lifecycle, from initial R&D and systems engineering to deployment and O&M.
• Security Posture: Possession of an active TS/SCI clearance and a foundational understanding of CVE mitigation and secure cloud computing.
• Autonomy & Leadership: A self-starting methodology characterized by the ability to operate unsupervised while providing technical mentorship to elevate the collective intelligence of the engineering team.

Academic & Research Pedigree

• Elite Educational Foundation: A Master’s or Ph.D. in Computer Science or Computer Engineering is highly preferred, emphasizing a deep understanding of data structures, algorithmic complexity, and mathematical rigor.
• Professional Tenure: A minimum of 15–25 years of sophisticated software engineering experience, specifically within high-stakes, multi-disciplinary R&D or defense-centric environments.
• Cloud & DevOps Mastery: Demonstrated expertise in modern deployment stacks, including AWS, Docker, Kubernetes, and GitLab-driven automation.