Specter
Specter

60 Specter Jobs Hiring Near You

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

Electronics Technician Specter is creating a software-defined "control plane" for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over ...

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can ...

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can ...

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

Electronics Technician Specter is creating a software-defined "control plane" for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over ...

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

About Specter Specter's mission is to help customers automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their ...

Founding Deployment Strategist

San Francisco, CA · On-site

$143K - $185K/yr

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

Founding Deployment Strategist

San Francisco, CA · On-site

$143K - $185K/yr

Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments.

Manufacturing Engineer

San Francisco, CA · On-site

$86K - $110K/yr

Specter is creating a software-defined "control plane" for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over their physical assets.

About Specter Specter's mission is to help customers automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their ...

Manufacturing Engineer

San Francisco, CA · On-site

$86K - $110K/yr

Specter is creating a software-defined "control plane" for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over their physical assets.

About Specter Specter's mission is to help customers automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their ...

Showing results 21-40

Specter Jobs Information

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Infographic showing various job openings at Specter in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 100% Physical job distribution.

Software Engineer - ML Infrastructure

Specter

San Francisco, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 29 days ago


Job description

Company Background
Specter's mission is to help automate the physical world.

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.

Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.


The Role
Specter is hiring an ML Infrastructure engineer to build and scale the machine learning systems that power real-time perception and inference across our edge-cloud platform. This role owns the data, training, deployment, and serving infrastructure for the computer vision and VLM systems that enable autonomous monitoring and orchestration across our customers' physical assets.


Responsibilities:

  • Designing and implementing scalable ML training and inference pipelines for perception models (object detection, tracking, classification, segmentation) and VLMs.

  • Developing continuous training and evaluation systems to improve model performance from production data feedback loops.

  • Designing large-scale multi-modal data pipelines for ingesting, processing, and indexing video and sensor data spanning both batch and streaming workloads.

  • Creating data pipelines for ingesting, labeling, versioning, and managing massive multi-modal sensor datasets (video, radar, lidar, thermal).

  • Implementing model monitoring, A/B testing frameworks, and performance analytics for deployed perception systems.

  • Collaborating with perception researchers to transition models from research to production at scale across thousands of edge nodes.

  • Building tools and infrastructure for distributed training, hyperparameter optimization, and experiment tracking.

Qualifications:

  • Strong software engineering fundamentals in Python, with working proficiency in a systems language (Rust, Go, C++) for performance-sensitive data and inference paths.

  • Working proficiency with ML frameworks (PyTorch, TensorFlow) and model optimization tooling.

  • Deep experience building and operating model inference systems at scale, request routing, batching, autoscaling, caching, and latency/throughput tuning under real production load.

  • Hands-on experience with distributed compute frameworks for ML and data workloads (Ray, Spark, or equivalent), including GPU cluster management and orchestration.

  • Strong understanding of distributed systems fundamentals: partitioning, replication, backpressure, exactly-once semantics.

  • Experience with vector databases (QDrant, LanceDB, or equivalent) for similarity search and retrieval workloads.

  • Familiarity with LLM/VLM serving frameworks (VLLM, SGLang, TensorRT-LLM) in production is a strong plus.

  • Familiarity with video processing, sensor fusion, or multi-modal perception systems is a plus.