Sr. Software Engineer (Fremont, CA)

SoundThinking, Inc.•Fremont, CA

1d•$140,000 - $165,000•Hybrid

About The Position

SoundThinking's SafetySmart™ Platform is a suite of products for law enforcement and security customers, including ShotSpotter (real-time gunshot alerts), ResourceRouter (patrol management), and SafePointe (weapons detection). These products are backed by many microservices running in the public cloud, using TypeScript/Node.js, C#/.NET, Go, and Python. ShotSpotter's acoustic location engine — the core technology that calculates where gunfire occurs — has operated for over two decades as a monolithic LabVIEW implementation running in colocation infrastructure. We are now re-architecting this system as cloud-native AWS microservices, while simultaneously enhancing our location algorithms to incorporate 3D urban models for improved accuracy in complex acoustic environments. You will contribute to the design and development of next-generation acoustic location services, working directly with a ShotSpotter cofounder who brings deep domain expertise in acoustic science and system design. You will report to the cofounder (Director of Engineering) and work collaboratively with the VP of Engineering on architectural decisions and platform integration. This is life-safety software — your code will directly impact how fast and accurately gunfire is located in real cities.

Requirements

8+ years of software design and development experience in backend/distributed systems
Advanced proficiency in Python and at least one systems-level language (C++, Rust, or Go)
Strong AWS experience — you've designed and shipped microservice architectures using core services
Experience with PostgreSQL, NoSQL databases, and message brokers (RabbitMQ, SQS/SNS)
Experience decomposing monolithic systems into microservices
Experience with complex distributed, event-driven architectures
Strong foundation in applied mathematics, physics, or signal processing — comfortable with multilateration, TDOA, optimization algorithms, and numerical methods
Experience with Kubernetes, Linux, Git, CI/CD tools, infrastructure-as-code
Excellent communication and collaboration skills
Bachelor's degree in computer science, engineering, physics, or related field (advanced degree preferred)

Nice To Haves

Experience with acoustic modeling, computational acoustics, or wave propagation simulation
Familiarity with 3D geometry processing, ray tracing, or computational geometry
Background with LabVIEW or migrating from LabVIEW/MATLAB to production systems
Experience with IoT device management, GIS platforms, LiDAR, or 3D city model formats
Experience with machine learning pipelines
Experience in defense, public safety, or mission-critical domains

Responsibilities

Decompose and re-architect the monolithic LabVIEW-based location engine into AWS microservices (Lambda, EKS/Kubernetes, RabbitMQ, etc.)
Design event-driven pipelines for real-time acoustic data ingestion, multilateration computation, and location refinement
Collaborate with the cofounder to implement enhanced location algorithms incorporating 3D urban models to account for sound reflection, diffraction, multipath, and shadowing
Integrate geospatial data sources (LiDAR, GIS, 3D city models) into the location computation pipeline
Build simulation and back-testing frameworks to validate accuracy improvements against historical incident data
Translate legacy LabVIEW signal processing and mathematical logic into maintainable, well-tested, modern codebases
Define service boundaries, REST/gRPC APIs, CI/CD pipelines, and infrastructure-as-code
Establish observability and monitoring for mission-critical services