Specter
Specter delivers real-time data and insights on private companies, enabling investors to make informed, confident decisions. Harness the power of live data and AI-driven analysis to outsmart the competition and make confident decisions in private markets.
Open Positions at Specter
8 open positions
Own reliability across a live fleet of customer-deployed edge sensors and the AWS infrastructure behind them. You’ll combine hands-on incident recovery with fleet tooling, automation, observability, and embedded systems troubleshooting.
Build the fixtures, software, and qualification infrastructure that verify Specter’s physical AI hardware from design through production. You’ll combine Python automation with low-level Rust or C development and debug failures across mechanical, electrical, firmware, and software systems.
Build and own the embedded software stack powering Specter’s distributed wireless mesh sensor nodes. You’ll integrate sensors and communications hardware, develop firmware and drivers, debug hardware-software systems, and enable reliable production deployments.
Build full-stack applications that turn Specter’s real-time video and sensor data into intuitive dashboards, APIs, and control interfaces. You’ll own features end to end while helping advance physical AI and distributed sensing systems.
Build the ML infrastructure powering real-time computer vision and sensor-fusion perception across Specter’s edge-cloud platform. You’ll own training, optimization, deployment, monitoring, and distributed systems supporting autonomous operations at thousands of edge nodes.
Build the distributed on-device systems that connect Specter’s embedded sensors, cloud infrastructure, and physical-world control plane. This role focuses on low-latency networking, sensor-data pipelines, and command-and-control infrastructure.
Build and scale the distributed infrastructure powering Specter’s edge sensing, perception, video, and cloud services. This role combines backend engineering, cloud operations, real-time data pipelines, and reliability ownership across edge and cloud environments.
Build and deploy multimodal perception models that transform sensor data into actionable insights for physical-world operations. You will work across computer vision, LLMs, embedded systems, model optimization, and production data infrastructure.