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Perception Engineer Remote Jobs in Georgetown, TX

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Perception Engineer Remote information

See Georgetown, TX salary details

$12

$52

$75

How much do perception engineer remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for perception engineer remote in Georgetown, TX is $52.02, according to ZipRecruiter salary data. Most workers in this role earn between $37.31 and $69.23 per hour, depending on experience, location, and employer.

What does a perception engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What are the key skills and qualifications needed to thrive as a perception engineer remote, and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What are some common challenges perception engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What is the difference between Perception Engineer Remote vs Computer Vision Engineer?

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

What are popular job titles related to Perception Engineer Remote jobs in Georgetown, TX?

For Perception Engineer Remote jobs in Georgetown, TX, the most frequently searched job titles are:

What cities near Georgetown, TX are hiring for Perception Engineer Remote jobs?

Cities near Georgetown, TX with the most Perception Engineer Remote job openings:

Perception Engineer Remote jobs near you
Infographic showing various Perception Engineer Remote job openings in Georgetown, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $108,208 per year, or $52 per hour.

Staff AI Observability & Telemetry Engineer (Remote)

Bitdeer Technologies Group

Austin, TX • Remote

$145K - $260K/yr

Full-time

Posted 11 days ago

Job description

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/

Position Overview

We are seeking a Staff AI Observability & Telemetry Engineer to architect the "nervous system" of our AI-native NeoCloud platform. This role goes beyond standard monitoring; you are responsible for building the high-fidelity perception layer required to orchestrate massive-scale AI infrastructure. You will capture, store, and make sense of millions of hardware and software signals per second, enabling our SREs, automated remediation agents, and external customers to peer deep into the performance of their GPU workloads and the underlying network fabric. You will define the telemetry standards that drive our autonomous operations, ensuring we can detect, diagnose, and resolve hardware and software bottlenecks in real-time.

Key Responsibilities

  • Architect and scale a high-cardinality telemetry infrastructure using highly available time-series databases (e.g., VictoriaMetrics, Thanos, or Mimir) capable of handling massive ingestion rates.
  • Integrate complex hardware-level exporters (NVIDIA DCGM, network switch telemetry, IPMI/Redfish) directly into the Kubernetes observability stack to provide a unified view of the cluster.
  • Build eBPF-based diagnostic tools to trace network congestion, kernel-level I/O latency, and distributed training bottlenecks across the cluster.
  • Develop automated dashboards and alerting pipelines that trigger proactive cordoning of degraded hardware before it impacts customer training jobs.
  • Design the metric pipelines required for accurate, multi-tenant consumption billing based on real-time GPU and network utilization metrics.
  • Collaborate with the GPU Systems and Scheduling teams to create observability standards for "AI-native" workloads, ensuring deep insight into job efficiency and resource utilization.
  • Lead technical design reviews for observability architecture, mentoring team members on best practices for high-performance telemetry collection and analysis.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 6+ years of software or site reliability engineering, with deep, hands-on expertise in the Prometheus/OpenTelemetry ecosystem.
  • Advanced proficiency in Go and extensive experience writing custom Kubernetes metric exporters and operators.
  • Hands-on experience with kernel-level tracing tools (eBPF, BCC) and deep performance tuning of Linux systems.
  • Strong familiarity with AI hardware metrics (GPU power states, SM utilization, memory bandwidth) and high-performance network telemetry.
  • Proven track record of operating, debugging, and scaling large-scale telemetry stacks in high-performance computing or cloud environments.
  • Strong technical leadership skills; ability to influence architectural decisions and align cross-functional teams around observability standards.
  • Excellent communication skills, with the ability to translate complex system requirements into manageable engineering milestones.
  • Experience working in high-velocity, high-growth engineering environments is strongly preferred.

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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.