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Salary: USD 160,000 - 250,000 / annual
Constellation Systems is building an AI-human translation layer to address deep problems in human experience: empowering people toward their goals, augmenting cognition and emotional wellness, and fostering mutual understanding. The company is generating the richest multimodal dataset ever collected to build a new class of foundation models.
As Senior Software Engineer, you will own the backend architecture for data collection and infrastructure. You'll architect a fault-tolerant data ingestion engine capable of handling intermittent sensor connectivity, hardware failures, and network issues without data loss. You'll design a hybrid on-premise and cloud infrastructure supporting TB-scale daily data ingestion from heterogeneous peripherals (USB, BLE, TCP/IP, etc.).
Key responsibilities include:
- Architecting fault-tolerant data ingestion with robust multi-process applications for concurrent streams
- Building a unified device abstraction layer for seamless heterogeneous data ingestion
- Optimizing I/O-bound operations and tracking bandwidth/latency
- Defining storage topology for TB-scale daily ingestion, selecting efficient file formats (Video, Audio, Text, Timeseries) and designing optimized database schemas
- Managing on-premise server provisioning and configuration
- Building synchronization logic to move terabytes from edge buffers to central cloud repository
- Collaborating with the AI team to design data infrastructure delivering high-performance, training-ready datasets
Required qualifications: 3+ years shipping production-grade backend systems; expert-level proficiency in Python, Rust, C++, or Go; proficiency with high-performance messaging/queuing (ZeroMQ, Kafka, RabbitMQ, Redis); strong cloud infrastructure experience (AWS, GCP, Azure); experience with low-latency streaming protocols (WebRTC, RTSP, HLS); programmatic video processing (FFmpeg, GStreamer, OpenCV); high-performance data transfer techniques (zero-copy networking, shared memory, memory-mapped files); time-series databases (TimescaleDB, InfluxDB, ClickHouse) and data lake formats (Parquet, Avro, Arrow); solid networking fundamentals; adaptability and creativity; passion for human well-being; thrives in collaborative environments.
Nice-to-have: familiarity with ML frameworks (PyTorch/TensorFlow), dataset optimization for GPU utilization, interest in neurotech/mental health/human-AI interaction.
Compensation: $160K–$250K plus equity. Benefits include fully-covered health/dental/vision insurance, renovated SF Mission District office, relocation assistance, workspace setup stipend, bi-monthly team dinners, twice-yearly off-sites, fully stocked kitchen with meal budget, conference sponsorship, professional development, 12+ weeks paid parental leave, and PTO.
