Software Engineer

SoundThinking, Inc.
Fremont, CA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$140,000.0 - $165,000.0
Working hours
Regular working hours

Tech stack

.NET Framework 3d Models Geographic Information Systems Application Programming Interfaces (APIs) Amazon Web Services C Sharp (Programming Language) C++ (Programming Language) Cloud Computing Continuous Delivery Continuous Integration Linux Distributed Systems
+33 more
Python (Programming Language) LabVIEW PostgreSQL Location-Based Services MATLAB Machine Learning Message Broker Microsoft Software Node.Js NoSQL RabbitMQ Computational Geometry Signal Processing Software Engineering Spatial Data Infrastructures Systems Architecture Rust (Programming Language) Scripting Data Ingestion AWS Lambda Backend Git Event Driven Architecture Kubernetes Information Technology Optimization Algorithms Ray Tracing Machine Learning Operations Restful APIs Amazon Simple Queue Service (SQS) Lidar Programming Languages Microservices

Job description

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., * 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

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-Have

  • 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, 3D Modeling, AWS Lambda, Acoustics, Acoustics Systems, Algorithms, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, C++ Programming Language, Cloud Computing, Collocation, Communication Skills, Computational Geometry, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Diffraction, Distributed Computing, Geographic Information Systems (GIS), Geometry, Git, Internet of Things, LabVIEW Programming Language, Law Enforcement, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Linux Operating System, MATLAB, Machine Learning, Mathematical Logic, Mathematics, Message Broker, Microservices, Microsoft .NET, Microsoft C# (C Sharp), NoSQL, Node.js, Optimization Algorithm, Physics, PostgreSQL, Production Systems, Public Cloud, Public Safety, Python Programming/Scripting Language, REST (Representational State Transfer), RabbitMQ, Ray Tracing, Rust Programming Language, Signal Processing, Simple Queue Service (SQS), Simulation, Software Design, Software Development, Software Engineering, Spatial Data, System Architecture, Team Player, Testing, Willing to Travel

Benefits & conditions

Compensation: At SoundThinking, we are committed to equitable compensation practices and consider a variety of factors, including skills, experience, and work location. The typical base salary range for this role is $140,000 - $165,000 annually. This range reflects base salary only and does not include bonus, sales incentives, equity, or benefits, where applicable.

About the company

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.

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