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Adas Algorithm Engineer Jobs in Pennsylvania (NOW HIRING)

Latitude AI

Triage Associate I (Contractor)

Pittsburgh, PA · On-site

$25.62 - $38.44/hr

... engineering lifecycle. The insights generated directly improve our systems and machine learning algorithms, enabling us to continuously learn from challenging scenarios and enhance vehicle ...

Latitude AI

Triage Engagement and Solutions

Pittsburgh, PA · On-site

$33.78 - $56.68/hr

... engineering lifecycle. The insights generated directly improve our systems and machine learning algorithms, enabling us to continuously learn from challenging scenarios and enhance vehicle ...

All JobsAdas Algorithm Engineer JobsAdas Algorithm Engineer Jobs in Pennsylvania

Adas Algorithm Engineer information

See Pennsylvania salary details

$59.6K

$111.9K

$203.5K

How much do adas algorithm engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for adas algorithm engineer in Pennsylvania is $111,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $132,800.00 per year, depending on experience, location, and employer.

What engineers make $200,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and certain engineering management roles can earn $200,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles like senior software engineers, cloud engineers, and engineering managers often reach this compensation level, particularly with bonuses and stock options included.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or certain engineering management roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries like technology or finance. These roles often require advanced certifications, leadership responsibilities, and a strong track record of project success.

How does an ADAS Algorithm Engineer typically collaborate with cross-functional teams during the development cycle?

ADAS Algorithm Engineers often work closely with hardware engineers, software developers, and systems integrators throughout the development process. They collaborate to ensure that algorithms for functions like lane keeping, adaptive cruise control, or emergency braking integrate seamlessly with vehicle sensors and hardware. Regular meetings and code reviews are common, as is joint validation of algorithm performance on both simulation platforms and real vehicles. This collaborative approach ensures safety standards are met and project milestones are achieved efficiently.

What are the key skills and qualifications needed to thrive as an ADAS Algorithm Engineer, and why are they important?

To excel as an ADAS Algorithm Engineer, you need a strong background in computer vision, machine learning, sensor fusion, and a relevant engineering degree. Experience with programming languages like C++ and Python, as well as expertise in tools such as MATLAB, ROS, and automotive simulation platforms, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork are essential soft skills for this role. These skills ensure the development of reliable and innovative advanced driver-assistance systems crucial for vehicle safety and automation.

How much do ADAS engineers make in the US?

ADAS (Advanced Driver Assistance Systems) algorithm engineers in the US typically earn between $90,000 and $130,000 annually, depending on experience, education, and location. Senior engineers with specialized skills in sensor fusion, computer vision, or machine learning can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

What are ADAS Algorithm Engineers?

ADAS Algorithm Engineers are professionals who design, develop, and optimize algorithms for Advanced Driver Assistance Systems (ADAS) used in vehicles. Their work involves creating software that enables features like adaptive cruise control, lane keeping assistance, automatic emergency braking, and more. They use sensor data from cameras, radar, and lidar to interpret the vehicle's surroundings and make real-time driving decisions. These engineers typically have backgrounds in computer science, electrical engineering, or related fields, and are skilled in areas such as machine learning, signal processing, and embedded systems.

What is the difference between Adas Algorithm Engineer vs Sensor Fusion Engineer?

AspectAdas Algorithm EngineerSensor Fusion Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with automotive systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systems
Work EnvironmentAutomotive industry, R&D labs, embedded systemsAutomotive and robotics industries, embedded and software development
Employer & Industry UsageAutomotive OEMs, Tier 1 suppliers, autonomous vehicle companiesAutomotive OEMs, sensor manufacturers, autonomous vehicle developers

Both roles focus on automotive sensor systems, but Adas Algorithm Engineers primarily develop algorithms for driver assistance features, while Sensor Fusion Engineers integrate multiple sensor data sources for accurate environment perception. The roles often overlap but differ in their core focus areas within autonomous driving technology.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as senior software engineers, data scientists, or engineering managers can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often stock options or bonuses as part of compensation packages.
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Adas Algorithm Engineer jobs near you
Principal Hardware Engineer, Radar Systems

Principal Hardware Engineer, Radar Systems

Motional

Pittsburgh, PA • On-site

Other

Posted 4 days ago

Job description

Mission Summary:

Our Component Engineering Team in Pittsburgh is seeking a Principal Hardware Engineer for Radar Components to lead the development of next-generation radar technology powering advanced mobility systems. In this role, you'll take ownership of radar component design from concept to production, defining requirements, selecting and managing suppliers, integrating systems, driving testing and validation, resolving issues, and ensuring production readiness. 

This is an onsite, hybrid position based in Pittsburgh, PA.

What you'll be doing:

  • Lead technical supplier management, coordinating technical activities and project milestones across internal and external stakeholders.
  • Compile, define, and maintain complete sets of requirements for radar components.
  • Collaborate cross-functionally with Perception, Systems, Mechanical, Vehicle, Manufacturing, Quality, Software, Cybersecurity, Diagnostics, and Reliability teams.
  • Develop and support testing for ML-based algorithms, including test design, planning, execution, and data collection.
  • Lead radar acceptance, performance, and characterization testing to ensure robust system performance.
  • Support and drive vehicle integration efforts for radar systems.
  • Conduct root cause analysis and oversee issue resolution to maintain quality and reliability.
  • Lead continuous improvement projects focused on radar components and processes.

What we're looking for:

  • Deep understanding of radar hardware, radar DSP, and radar testing and performance.
  • Proven experience developing automotive radar components and radar system design.
  • 5+ years of experience in the automotive or a related industry.
  • Experience with multi-domain controllers, secure gateways, or ADAS controller development.
  • Comfortable debugging, disassembling, modifying, and installing electrical and mechanical systems in vehicles.
  • Strong ability to operate within rigid design, integration, and time constraints.
  • Basic knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.).
  • Strong communication skills with the ability to collaborate globally across teams and levels to drive project success.
  • Self-motivated, organized, and flexible individual with the ability to balance and prioritize multiple diverse projects.
  • Creative and resourceful problem-solver who ensures quality results independently and in teams.
  • Hands-on vehicle integration experience, including wiring harnesses and packaging, is preferred.
  • Bachelor's degree in Engineering (STEM) or a related field.

This position may require the use of power tools, as defined by OSHA (electric, pneumatic, liquid fuel, hydraulic, or powder-actuated tools). While performing job duties, employees may be required to convey and detect communication, remain stationary for up to 50% of the time, move within designated areas, and operate office equipment. The role may occasionally involve moving objects up to 50 pounds.

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