Senior Software Engineer

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, build, and maintain high-throughput, low-latency C++, Go, and Python services
Take ownership of feature lifecycle from development through production deployment and O&M
Implement and integrate complex product-facing algorithms for tracking, inference, and sensor fusion
Design and implement high-performance inter-application communication protocols
Architect and manage data pipelines from sensor ingestion to storage and delivery
Iterate and build upon historic and simulated data to test and validate algorithms
Develop REST APIs and internal/external service integrations
Implement system observability, monitoring, logging, and alerting
Operate containerized services on Kubernetes in GCP
Design and optimize data structures, Protobuf serialization, and Redis Streams

5+ years of professional software engineering experience with backend and systems focus
Deep experience building, tuning, and operating real-time systems
Strong proficiency in C++ for high-performance, low-latency algorithms
Proficiency in Python for prototyping
Experience with inter-process communication and high-speed messaging protocols
Experience building and operating streaming data systems like Redis Streams or Kafka
Experience with scientific Python libraries including NumPy, SciPy, and Pandas
Experience with GCP or comparable cloud infrastructure
Experience with containerization using Docker and Kubernetes
Experience with Infrastructure as Code and CI/CD pipelines like Terraform and GitHub Actions
BS in Computer Science, Engineering, or equivalent practical experience

Domain experience in transportation, robotics, autonomous vehicles, or sensor-heavy systems
Familiarity with classical estimation and filtering techniques like Kalman filters and sensor fusion
Experience with GCP data products including BigQuery, Cloud Storage, and Pub/Sub
Experience with AI/ML workflows, feature stores, or model serving infrastructure
Familiarity with messaging and observability tools like nanomsg and OpenTelemetry
Experience with high-throughput data processing and build systems like Buck2
Prior experience in early-stage startup environments

Skills