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Perception Engineer Jobs in Virginia (NOW HIRING)

Engineering design reviews and technical analysis. Reviewing and commenting on technical ... vision, depth perception and ability to adjust focus with or without corrective lenses Work ...

Controls Engineer

Reston, VA · On-site

$86K - $112K/yr

Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most ... Ability to travel up to 50% Physical Demands of Position Seeing, color perception, hearing, clear ...

Controls Engineer

Richmond, VA · Hybrid

$85K - $110K/yr

Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most ... Ability to travel up to 50% Physical Demands of Position Seeing, color perception, hearing, clear ...

Controls Engineer

Fredericksburg, VA · Hybrid

$85K - $110K/yr

Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most ... Ability to travel up to 50% Physical Demands of Position Seeing, color perception, hearing, clear ...

Cloud Systems Engineer

Reston, VA · On-site

$120 - $150/hr

The Cloud Systems Engineer will assist with engineering activities involving AWS cloud ... perception and ability to adjust focus. WORK ENVIRONMENT: Work environment will have moderate noise ...

New

Controls Engineer

Fredericksburg, VA · On-site

$85K - $110K/yr

Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most ... Ability to travel up to 50% Physical Demands of Position Seeing, color perception, hearing, clear ...

Controls Engineer

Richmond, VA · On-site

$82K - $106K/yr

Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most ... Ability to travel up to 50% Physical Demands of Position Seeing, color perception, hearing, clear ...

Resident Engineer

Norfolk, VA · On-site

$95K - $122K/yr

... perception of the customer to the manufacturing team members * Provide technical direction to ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Resident Engineer

Chesapeake, VA · On-site

$86K - $110K/yr

... perception of the customer to the manufacturing team members * Provide technical direction to ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Resident Engineer

Virginia Beach, VA · On-site

$87K - $111K/yr

... perception of the customer to the manufacturing team members * Provide technical direction to ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Resident Engineer

Hampton, VA · On-site

$83K - $106K/yr

... perception of the customer to the manufacturing team members * Provide technical direction to ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Resident Engineer

Williamsburg, VA · On-site

$90K - $115K/yr

... perception of the customer to the manufacturing team members * Provide technical direction to ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

Showing results 41-60

Perception Engineer information

See Virginia salary details

$12

$55

$80

How much do perception engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for perception engineer in Virginia is $55.51, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $73.89 per hour, depending on experience, location, and employer.

What is a perception engineer?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

What are the typical daily responsibilities of a perception engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.

What are the key skills and qualifications needed to thrive in the perception engineer position, and why are they important?

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

How do you become a perception engineer?

To become a perception engineer, typically a bachelor's degree in computer science, electrical engineering, or a related field is required. Relevant skills include experience with computer vision, machine learning, and programming languages like Python or C++, along with knowledge of sensor data processing and AI frameworks. Gaining hands-on experience through internships or projects is also beneficial.

What does a perception engineer do?

A perception engineer develops algorithms and systems that enable machines to interpret sensory data such as images, audio, and lidar. They work on tasks like object detection, scene understanding, and sensor fusion, often using machine learning and computer vision tools. Their work is essential in fields like autonomous vehicles, robotics, and advanced driver-assistance systems.

What are the most commonly searched types of Perception Engineer jobs in Virginia?

The most popular types of Perception Engineer jobs in Virginia are:

What are popular job titles related to Perception Engineer jobs in Virginia?

For Perception Engineer jobs in Virginia, the most frequently searched job titles are:

Infographic showing various Perception Engineer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $115,464 per year, or $55.5 per hour.

Software Engineer, II - Autonomy Data

Torc Robotics

Blacksburg, VA • On-site, Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

About The Company:
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
Torc is hiring an Autonomy Data Engineer Level 2 to help design, build and operate the data infrastructure that powers our autonomy program. You will build the pipelines, storage systems, and tooling that turn raw vehicle sensor logs into the curated, structured datasets that our perception, planning and simulation engineers depend on.
This is a high-ownership role on a lean team. Moving large scale sensor data reliably from vehicles operating in demanding environments and making it quickly available for model training is a difficult and high-impact problem to solve.
What You'll Do:
  • Data Lake and Ingestion Pipeline
    • Contribute to the design and organization of the program's data lake, including schema definitions, partitioning strategy and metadata indexing.
    • Build and maintain end-to-end pipelines that ingest high-bandwidth sensor logs from vehicles into cloud storage with high reliability and tolerant of ad-hoc and intermittent connectivity mechanisms.
    • Implement data validation and integrity checks that can detect corrupted information, missing sensors, and inconsistent calibration prior to the data being processed by downstream systems.
    • Implement retention, tiering and lifecycle policies for data to balance storage costs with development value.
  • Dataset Curation and Labeling Infrastructure
    • Build tooling to query raw logs to produce curated training and evaluation datasets.
    • Build automation to run cost-effective pseudo-labeling workflows at the scale of data ingest.
    • Implement data quality and model performance metrics that are used to direct labeling effort toward the highest-value examples.
  • Autonomy Data Visualization
    • Deploy and maintain data visualization tooling to support log review, annotation QA, and autonomy debugging workflows.
    • Build integrations between the visualization tooling and the data lake so engineers can navigate from a dataset entry or model failure directly to the origin log data
    • Work with autonomy engineers to define and surface custom visualization panels and implement metrics for analyzing unstructured operating environments.
    • Build dashboards that provide the autonomy engineers visibility into data coverage by terrain type, operating environment and geographic region.
  • Cross-functional Collaboration
    • Establish and document data contracts between the data services and model training consumers.
    • Partner with perception, planning and embedded engineers across the data lifecyle: from shaping the logging schemas and collection triggers to defining the dataset interfaces that supply model training and evaluation.
    • Follow and help evolve data engineering standards, best practices, and tooling choices for an innovative and fast-paced team.
    • Contribute to the data roadmap and surface findings to senior technical leadership.

What You'll Need to Succeed:
  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering or a related field with 4+ years of data engineering experience or a Master's with 2+ years.
  • Strong proficiency in Python and SQL, with demonstrated ability to build production-quality data pipelines
  • Experience with cloud data infrastructure (AWS preferred: S3, Glue Athena, redshift, or equivalent) and infrastructure-as-code tools (Terraform, Cloud Formation).
  • Solid understanding of data partitioning strategies and columnar storage formats (Parquet, Orc, etc.)
  • Experience building and operating data pipelines that process time-series and binary data.
  • Proven ability to evaluate and integrate open-source tooling when appropriate versus building from scratch.
  • Good instincts for delivering data quality through first-class implementations of monitoring, validation and lineage tracking.

Bonus points!
  • Experience with autonomous vehicles, robotics, or other sensor-driven autonomous systems.
  • Deep experience with Foxglove or Rerun beyond basic playback, e.g. building custom extensions or integrating them into a structured log review or annotation QA workflow.
  • Familiarity with the MCAP CLI and/or python library and experience converting MCAP data to columnar data formats for further querying and processing.
  • Experience with data curation for ML training, e.g. diversity sampling, pseudo-labeling, and dataset versioning.

U.S. Citizenship Requirement:
This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102913
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD