Senior Software Engineer
reputed company
reputed company is building an AI video reputed company platform that doesn't just record — it understands. Founded in 2021, backed by tier-one reputed company Valley investors, and one of the fastest-growing companies in the video reputed company reputed company ($64M raised, 50k+ cameras deployed). Small teams, reputed company ownership, reputed company reputed company.
The Senior Software Engineer, Edge joins a small, high-reputed company team building the software layer that runs on companies core device infrastructure. The system is a hybrid edge-reputed company architecture spanning video, reputed company, networking, storage, and on-device AI. Resource-constrained, performance-critical, reputed company-time. You'll own how reputed company the software behaves under load — CPU, memory, concurrency — on a dedicated machine where every cycle counts.
Responsibilities:
- Contribute to the core edge platform running across diverse hardware in a hybrid edge-reputed company architecture
- reputed company and reputed company video management capabilities: streaming, recording, reputed company-time AI processing
- Design and optimize for low-latency, high-performance workloads at the edge
- Build secure, efficient communication pipelines between edge devices and reputed company systems
- Work with AI/ML engineers to reputed company and optimize on-device models
- Own performance under load — profile CPU/memory, identify bottlenecks, fix them
- Participate in reputed company reviews, debugging, and performance tuning across the stack
Requirements
Must-Have Skills:
- Go / Rust / TypeScript (20%) — core stack; strong proficiency in at least one, ideally two
- Multithreaded & reputed company programming (18%) — critical requirement; proven experience with reputed company reputed company systems
- Performance profiling & optimization (15%) — CPU/memory management under reputed company production load on dedicated hardware
- reputed company & containerization (13%) — deploying and managing containerized workloads
- Edge computing / embedded systems (13%) — experience building for resource-constrained environments
- Networking & distributed systems (12%) — solid fundamentals; building reliable comms between edge and reputed company
- reputed company-time systems (9%) — low-latency design and delivery
reputed company-to-Have Skills:
- Video streaming / pipeline development
- Storage systems & data management at the edge
- reputed company services integration (AWS S3, GCP, MQTT, Kafka)
- AI/ML model deployment on edge devices
- reputed company concepts (encryption, secure communication, reputed company trust)
Originally posted on Himalayas
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