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Adas Algorithm Engineer Jobs in Ontario (NOW HIRING)

CA$121K - CA$140K/yr

GEO ships camera video processors in diverse automotive applications such as ADAS, autonomy, in ... algorithm teams Develop, maintain camera control solutions over various interfaces (SPI, UART, CAN ...

Senior Software Developer

Markham, ON · Hybrid

CA$115K - CA$164K/yr

Expert in object-oriented software development, algorithms, and data structures * Experience ... Understanding of major automotive vehicle systems such as Advanced Driver-Assistance (ADAS), Motion ...

Adas Algorithm Engineer information

See Ontario salary details

$41K

$130.2K

$184K

How much do adas algorithm engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for adas algorithm engineer in Ontario is $130,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $150,000.00 per year, depending on experience, location, and employer.

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.

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 are popular job titles related to Adas Algorithm Engineer jobs in Ontario? For Adas Algorithm Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Adas Algorithm Engineer jobs in Ontario look for? The top searched job categories for Adas Algorithm Engineer jobs in Ontario are:
What cities in Ontario are hiring for Adas Algorithm Engineer jobs? Cities in Ontario with the most Adas Algorithm Engineer job openings:
GEO Semiconductor - Embedded Systems Software Engineer

GEO Semiconductor - Embedded Systems Software Engineer

Beyond SOF

On-site

CA$121K - CA$140K/yr

Other

Posted 9 days ago


Job description

Embedded Systems Software Engineer
Experience level: Mid-senior
Experience required: 5 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Semiconductors
Compensation: $121,000 - $140,000
Total position: 2
Relocation assistance: Yes

ABOUT GEO SEMICONDUCTOR:

GEO Semiconductor (GEO), headquartered in San Jose, CA, is an industry leader in delivering programmable camera video processors to the rapidly growing automotive camera market. GEO's products feature advanced image signal processing, unique eWARP processing technology, and state of the art neural network-based computer vision solutions. GEO ships camera video processors in diverse automotive applications such as ADAS, autonomy, in-cabin monitoring, digital mirrors, smart backup and augmented reality cameras.

POSITION DETAILS:

Located at our Toronto, Canada facility, you will be part of GEO's Image Signal Processing group creating and bringing to market leading-edge image and video processing solutions for GEO's high performance current and next-generation ICs. You will have the following responsibilities
Design, implement, test and document new system-level features
Optimize system resources and video data path based on product use cases
Integrate new image and video processing capabilities (warping, computer vision) from algorithm teams
Develop, maintain camera control solutions over various interfaces (SPI, UART, CAN, Ethernet)
Interface GEO's camera processor to various systems hosts, integrate with 3rd party middleware
Create and maintain tools for customers and developers
Help bring-up, debug customer systems and issues

QUALIFICATIONS:
BSc in computer science or electrical engineering
3+ years industry experience in firmware development in constrained environments
Strong C programming and debugging skills in RTOS environments
Experience with solving real-time embedded issues including threading, optimization, memory management, interrupt handling, etc.
Experience with scripting languages (Python, Perl)
Familiar with quality software development cycle
Excellent verbal and written communication skills

SKILLS THAT WOULD HELP DIFFERENTIATE:
Experience working with Board Software Packages (BSPs)
Understanding of I2C, UART, SPI and Ethernet protocols
Working knowledge of graphics API such as OpenVG, OpenGL
AUTOSAR system development experience
Software development experience in automotive or other safety-critical industries
Knowledge in various cryptographic authentications, hashing, encryption algorithms, secure key storage technologies
As a GEO team member, you have a passion for quality, leading-edge, robust and reliable products. You are highly motivated, hands-on, technology savvy with excellent interpersonal skills. You are comfortable working in a fast-paced, collaborative and deep technical environment