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Remote Sensor Operator Jobs in California (NOW HIRING)

Foxglove

Applied ML Engineer

San Francisco, CA · On-site +1

Applied ML Engineer Build the data infrastructure for robots operating in the real world. Robotics ... sensor data from live systems and from production fleets. About the Role We're looking for an ...

Anduril Industries

Flight Test Engineer

Costa Mesa, CA · On-site +1

$100K - $141K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Deploy to remote test sites within the US, with opportunity to support trials in overseas locations.

ANDURIL INDUSTRIES

Flight Test Engineer

Costa Mesa, CA · On-site +1

$100K - $141K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Deploy to remote test sites within the US, with opportunity to support trials in overseas locations.

Hp

Senior Firmware Engineer

San Francisco, CA · On-site +1

$162K - $252K/yr

About The Role The System Software team is responsible for firmware, operating system software ... Bring up and debug new hardware in the lab and support builds at remote production sites

UpKeep

Sr. Customer Success Manager

Los Angeles, CA · On-site +1

Every feature we ship leverages AI-from predictive work orders to sensor-driven automations. You're ... With 100+ employees across the world, we support remote-first work with deep investment in our LA ...

UpKeep

Director of Growth

Los Angeles, CA · On-site +1

Every feature we ship leverages AI-from predictive work orders to sensor-driven automations. You're ... With 100+ employees across the world, we support remote-first work with deep investment in our LA ...

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Remote Sensor Operator information

What are some common challenges faced by Remote Sensor Operators, and how can they be effectively addressed?

Remote Sensor Operators often encounter challenges such as managing large volumes of data, interpreting sensor outputs accurately, and maintaining effective communication with field teams. Staying organized and using reliable data management tools can help handle data efficiently. Regular training on sensor technology and protocols ensures accuracy in data interpretation. Additionally, establishing clear communication channels with other team members, such as analysts and engineers, helps resolve issues quickly and ensures mission objectives are met.

What are the key skills and qualifications needed to thrive as a Remote Sensor Operator, and why are they important?

To thrive as a Remote Sensor Operator, you need strong attention to detail, spatial awareness, and a solid understanding of data analysis, often supported by military training or relevant technical certifications. Familiarity with sensor platforms, imagery analysis software, and secure communication systems is typically required. Excellent situational awareness, decision-making skills, and the ability to work under pressure are vital soft skills in this role. These competencies ensure accurate data collection and timely information relay, which are critical for mission effectiveness and safety.

What is the difference between Remote Sensor Operator vs Remote Drone Pilot?

AspectRemote Sensor OperatorRemote Drone Pilot
CredentialsFAA Part 107 certification, technical trainingFAA Part 107 certification, drone operation training
Work EnvironmentMonitoring sensors remotely, data analysisFlying drones remotely, aerial data collection
Industry UsageEnvironmental monitoring, security, infrastructureAerial photography, surveying, inspection

Both roles require FAA Part 107 certification and involve remote operation. The Remote Sensor Operator focuses on monitoring and analyzing sensor data, while the Remote Drone Pilot operates drones for aerial tasks. They share similar credentials and work environments but differ in their specific tasks and industry applications.

What are Remote Sensor Operators?

Remote Sensor Operators are professionals who operate and monitor remote sensing equipment, such as cameras, radar, or other sensors, to collect data from a distance. They often work with airborne, satellite, or ground-based systems to gather information used in fields like defense, environmental monitoring, and resource management. Their responsibilities include controlling the sensors, processing and analyzing the data, and ensuring the accuracy of the information collected. This role requires technical skills, attention to detail, and the ability to interpret complex data. Remote Sensor Operators may work in a variety of industries, including military, agriculture, and scientific research.
What are popular job titles related to Remote Sensor Operator jobs in California? For Remote Sensor Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Sensor Operator jobs in California look for? The top searched job categories for Remote Sensor Operator jobs in California are:
What cities in California are hiring for Remote Sensor Operator jobs? Cities in California with the most Remote Sensor Operator job openings:
Remote Sensor Operator jobs near you
Applied ML Engineer

Applied ML Engineer

Foxglove

San Francisco, CA • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Applied ML Engineer

Build the data infrastructure for robots operating in the real world.

Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened.

At Foxglove, we build the observability, visualization, and data infrastructure that makes that possible. Our tools are used by robotics and autonomous systems teams to ingest, store, query, replay, and analyze massive volumes of multimodal sensor data from live systems and from production fleets.

About the Role

We're looking for an Applied ML engineer with deep infrastructure instincts to help design, deploy, and scale the ML systems that power Foxglove's data platform.

In this role, you'll own the infrastructure that makes ML work in production: from optimizing inference pipeline throughput to standing up training and eval workflows. You'll work directly on the problems that matter right now: retrieval applications over petabyte-scale multimodal robotics data, using the latest models to build high-performance search and data mining products, and creating the internal ML flywheel that lets us iterate fast. This is a hands-on application-driven role, not research.

Key Responsibilities
  • Deploy and operate inference infrastructure for production ML workloads, including model serving, scaling, and cost optimization
  • Build and maintain vector database integrations and embedding applications to support semantic search over multimodal (image, video, point cloud, and timeseries) robotics data
  • Design and implement evaluation and training infrastructure, to help us iterate quickly on model performance
  • Own cloud architecture decisions and tooling that affect inference latency, throughput, cost, and reliability at scale
  • Collaborate with product engineers to ship application-driven ML features tailored to developers building the cutting edge of robotics and physical AI, not prototype experiments
  • Identify the right off-the-shelf solutions and adapt them for production, and know when to build vs. buy
What We're Looking For
  • Strong hands-on experience in production ML infrastructure: cloud inference, model serving optimization frameworks (e.g., TorchServe, vLLM, Triton), and cost management
  • Experience with the technologies used in building retrieval systems, including vector databases (e.g., Pinecone, Lance, turbopuffer, pgvector) and text-image embedding models
  • Solid engineering fundamentals: distributed systems, cloud infrastructure (AWS/GCP), and production reliability
  • A bias toward application and product impact over research; you're excited by shipping things that work, not writing papers
  • Proven ability to operate independently, make good tradeoffs, and move fast in a high-ownership environment
  • Excellent communication skills; you can explain ML tradeoffs to non-ML engineers
Bonus Points
  • Familiarity with fine-tuning and domain adaptation techniques for LLMs or embedding models (i.e. SFT, PEFT)
  • Experience with data mining or hybrid search workflows, especially as applied in robotics autonomous vehicles, or physical AI workflows
  • Experience building ML tooling, data management, and evaluation frameworks from scratch
What We Offer
  • $300 monthly budget towards commuter benefits or building your personal workspace (remote only)
  • Competitive equity grant in a Series B company
  • Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents
  • 401(k) matching up to 4%
  • 4 weeks vacation, plus holidays and winter break
  • All expenses paid company off-sites 2× per year
Why Join Us
  • Impact: Own growth at a fast-growing, high-leverage moment for the company.
  • Mission: Accelerate the development of the next generation of robotics and embodied AI.
  • Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools.
  • Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

Apply