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Pegasus Engineering Jobs (NOW HIRING)

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. * Communication: Exceptional ability to translate complex data engineering challenges into ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. * Communication: Exceptional ability to translate complex data engineering challenges into ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

$107K - $146K/yr

... like Pegasus layers. • Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders. • Proven track record of mentoring teams ...

Jobtailor

Principal Design Engineer

San Jose, CA · On-site

$180 - $240/hr

... Engineering with a minimum of 7 years of experience OR MS with a minimum of 5 years of experience ... Experience with Cadence tools such as Innovus, Tempus, QRC, Voltus and Pegasus * Experience with ...

GDIT

$107K - $120K/yr

Software Engineering Job Qualifications: Skills: Communication, Documentations, Functional ... Yes The Pegasus program is a collaborative coalition partnership between the Five Eyes (FVEY ...

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Pegasus Engineering information

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$46.5K

$146.9K

$174K

How much do pegasus engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for pegasus engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is Pegasus Engineering?

Pegasus Engineering typically refers to a company or division that specializes in providing engineering solutions, often in sectors like aerospace, mechanical, or civil engineering. They may be involved in designing, developing, and implementing engineering projects, as well as offering consulting, testing, and manufacturing services. Pegasus Engineering companies are known for their innovative approaches and technical expertise, serving clients in both the public and private sectors. The specific services and areas of expertise can vary depending on the particular Pegasus Engineering organization.

What types of projects and industries does a Pegasus Engineering professional typically work on, and how does this impact daily responsibilities?

Professionals at Pegasus Engineering often work on a diverse range of projects, such as infrastructure development, energy systems, and advanced manufacturing. This variety means their daily responsibilities can shift from design work and technical analysis to project management and client meetings. Collaboration with multidisciplinary teams—including architects, contractors, and regulatory bodies—is common, requiring strong communication and adaptability. The dynamic project environment offers opportunities to broaden technical expertise and advance into leadership roles over time.

What are the key skills and qualifications needed to thrive as a Pegasus Engineer, and why are they important?

To excel as an engineer at Pegasus, a strong background in engineering principles, problem-solving, and relevant technical education (such as a degree in mechanical, aerospace, or systems engineering) is essential. Familiarity with CAD software, simulation tools, and industry-specific certifications like PMP or Six Sigma is often required. Excellent teamwork, communication, and adaptability are critical soft skills for collaborating on complex projects and driving innovation. These abilities enable engineers to deliver high-quality solutions, meet project deadlines, and contribute to organizational success in a competitive field.

What is the difference between Pegasus Engineering vs Mechanical Engineer?

AspectPegasus EngineeringMechanical Engineer
Required CredentialsBachelor's degree in engineering, relevant certificationsBachelor's degree in mechanical engineering, professional licensure often preferred
Work EnvironmentDesign firms, manufacturing, consultingManufacturing plants, design offices, R&D labs
Industry UsageEngineering consulting, project managementProduct design, machinery development

Pegasus Engineering and Mechanical Engineers share similar educational backgrounds and work environments, often collaborating on projects. However, Pegasus Engineering typically refers to a specific firm or specialized engineering services, while Mechanical Engineer is a broader professional role across various industries. Understanding these differences helps job seekers target the right opportunities and certifications.

More about Pegasus Engineering jobs

What are the most commonly searched types of Pegasus Engineering jobs?

The most popular types of Pegasus Engineering jobs are:

What states have the most Pegasus Engineering jobs?

States with the most job openings for Pegasus Engineering jobs include:

What job categories do people searching Pegasus Engineering jobs look for?

The top searched job categories for Pegasus Engineering jobs are:

Pegasus Engineering jobs near you
Infographic showing various Pegasus Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Senior, ML Engineer - Auto Tagger

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

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:
The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.
What You'll Do:
  • Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.
  • Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.
  • Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.
  • Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.
  • Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.
  • Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.

What You'll Need to Succeed:
  • BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation.
  • Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.
  • ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.
  • Data Exploration: Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.
  • Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.
  • AV Standards: Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.
  • Communication: Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.
  • Technical Leadership: Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.

Bonus Points!
  • Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.
  • Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
  • Semantic Inference: Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection.
  • Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow).
  • Downstream Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.
  • Advanced Retrieval: Experience building semantic retrieval systems or vector databases for automotive data.

Perks of Being a 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-102717
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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