Description

We are seeking a Senior Software Engineer to own the design, development, and evolution of adaptive traffic‑signal optimization systems. The role sits at the intersection of real‑time systems, optimization algorithms, distributed software, and traffic engineering. The engineer will lead technical direction while remaining hands‑on, working on second‑by‑second optimization logic, edge/cloud systems, and large‑scale deployments in urban environments.

The position involves leading the design and evolution of adaptive traffic‑signal optimization based on industry‑standard Purdue research, developing real‑time decision‑making logic using traffic theory, optimization, and AI, and improving system performance for complex urban grids and multimodal intersections. The engineer will also design, develop, test, deploy, and maintain production‑grade, scalable systems that run across edge devices and cloud infrastructure, handling high‑volume, low‑latency data streams with observability, reliability, and resilience.

Technical leadership includes owning architectural decisions, reviewing code, mentoring engineers, identifying refactoring opportunities, and introducing new technologies while balancing speed, correctness, and long‑term maintainability. The role follows a “run what you build” mindset, participates in on‑call rotations, improves monitoring and alerting, and resolves complex production issues in real‑time systems.

• Design and evolve adaptive traffic‑signal optimization algorithms using industry‑standard research and AI techniques.
• Develop real‑time decision‑making logic grounded in traffic theory, queueing, control, and reinforcement learning.
• Build and maintain scalable, production‑grade systems across edge devices and cloud infrastructure handling high‑volume, low‑latency data streams.
• Ensure system observability, reliability, and resilience with robust monitoring, alerting, and performance tuning.
• Own architectural decisions, conduct code reviews, mentor engineers, and introduce new technologies to improve maintainability.
• Participate in on‑call rotations and resolve complex production issues in real‑time environments.
• Collaborate cross‑functionally with Product, AI/Research, Network Engineering, and Deployment teams to translate traffic problems into technical solutions.

Requirements

The candidate should hold a bachelor’s degree in Computer Science, Engineering, Robotics, or a related field (advanced degrees a plus) and have at least six years of professional software‑engineering experience, preferably with real‑time, high‑concurrency, or mission‑critical systems and proven leadership of complex technical initiatives. Required technical skills include strong proficiency in Python, Go, C/C++ or Rust, experience with distributed systems, real‑time data processing, networking fundamentals, Linux‑based edge computing, and familiarity with traffic‑engineering concepts; exposure to cloud platforms, containers, CI/CD pipelines, monitoring tools, and the DORA Capabilities Maturity Model is also valued. Soft‑skill expectations are strong ownership, decision‑making in ambiguity, clear communication, collaborative low‑ego attitude, and a mentorship mindset.

• Hold a bachelor's degree in CS, Engineering, Robotics or related field and 6+ years of professional software‑engineering experience.
• Proficient in Python, Go, C/C++ or Rust; experienced with distributed systems, real‑time data processing, networking, Linux/edge computing, and cloud/container CI/CD pipelines.
• Familiar with traffic‑engineering concepts, optimization, control systems, and the DORA Capabilities Maturity Model.
• Demonstrate strong ownership, decision‑making in ambiguity, clear communication, collaborative low‑ego attitude, and mentorship mindset.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance