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Perception Engineer Remote Jobs in Austin, TX (NOW HIRING)

Software Research Engineer (ML)

Austin, TX · On-site +1

$203K/yr

... Perception teams to integrate research results into production workflows * Explore emerging ... The employer is not offering relocation sponsorship, and remote work options are not available.

Director of Product Management

Austin, TX · Remote

$231K - $241K/yr

Remote - United States (Austin, Dallas, Houston) NON-NEGOTIABLE: AI-Driven Mindset | You must ... About CloudBees CloudBees is defining the future of AI-native DevOps - and we need a Product ...

... remote roles. We are hiring a Senior Marketing Manager to drive content strategy and thought ... You will work directly with marketing and engineering leadership to translate architectural ...

Perception Engineer Remote information

See Austin, TX salary details

$12

$55

$80

How much do perception engineer remote jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for perception engineer remote in Austin, TX is $55.50, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $73.85 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 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 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 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 the most commonly searched types of Perception Engineer jobs in Austin, TX? The most popular types of Perception Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Perception Engineer Remote jobs? Cities near Austin, TX with the most Perception Engineer Remote job openings:

Software Research Engineer (ML)

Avride

Austin, TX • On-site, Remote

$203K/yr

Other

Posted yesterday


Job description

Software Research Engineer (ML)

Austin, TX

About Team

Avride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. We're shaping the future of transportation and logistics—and our Labeling Team plays a vital role in bringing that vision to life.

The Labeling Backend Team builds the data infrastructure that powers groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we deliver is critical to advancing our core technologies and supports the diverse range of models that drive our entire business.

About the Role

We are looking for a Research Engineer to improve the quality and representativeness of datasets powering our self-driving systems. You will design algorithms and tools for auto-labeling, data mining and dataset monitoring, combining strong Python engineering with applied ML concepts. Your work will directly enhance data efficiency, reduce labeling costs, and improve model performance.

What You'll Do
  • Design and implement algorithms that optimize annotation, including auto-labeling systems that reduce manual effort and increase throughput
  • Build data-mining and active-learning pipelines to surface the highest-value samples for training
  • Create dataset-quality monitoring systems identifying noise, redundancy, and low-value data
  • Develop analytics platforms (databases, dashboards, reporting) to track dataset quality and coverage over time
  • Collaborate with ML and Perception teams to integrate research results into production workflows
  • Explore emerging approaches (vision-language models, weak supervision, uncertainty estimation) to expand dataset quality and automation
What You'll Need
  • Bachelor's or Master's degree in Computer Science or related field
  • Strong Python skills for algorithm development and prototyping
  • Solid understanding of ML concepts (metrics, evaluation, dataset sampling, etc.)
  • Experience with data processing and analysis at scale
  • Ability to move between research prototyping and production engineering
  • Strong analytical mindset and curiosity to dig deep into data quality problems
Nice to Have
  • Experience with auto-labeling, weak supervision, or human-in-the-loop ML
  • Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines)
  • Background in AV, robotics, or large-scale ML dataset development
  • Experience with foundation models / VLMs
  • Workflow orchestration systems (Argo, Airflow, etc.)
  • Backend engineering experience (APIs, ORMs, databases)
  • Experience building dashboards or analytics systems (Grafana, Superset, etc.)

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.

Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.