Senior Engineer

Motional; Pittsburgh (Allegheny County); Hybrid; USD 168,000 - 214,000; Full time

Job summary

Motional in Pittsburgh is seeking a software engineer to build the on-vehicle communications framework and the software execution framework for autonomous vehicles. You will develop internal communication libraries, network metrics systems, and data-flow visualization tools, and work on the Diagnostics system to monitor AV status in real time to ensure safety.

You should have a Bachelor’s in Computer Science or Robotics and at least two years of experience in software development for autonomous

Qualifications

• Bachelor's degree in Computer Science, Robotics, or closely related technical field.
• Two years of working experience in software development for autonomous robotics.
• Experience must include C++, C, Python and software engineering principles (design, source control management, build processes, code reviews, testing).

Responsibilities

• Build future on-vehicle communications framework and software execution framework.
• Develop internal communication library, network metrics systems, and tools to visualize data flow.
• Develop the monitoring Diagnostics system in autonomous vehicle to monitor the AV status at runtime to ensure AV safety.
• Drive system monitoring framework implementation and design infrastructure to enable high performance autonomy components to operate reliably at fleet scales.

Skills

C++

C

Python

Software engineering principles

Education

Bachelor's in Computer Science, Robotics, or closely related field

Job description

Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world.

All Motional open positions and applications will be posted here on the official website.

PITTSBURGH – HYBRID WORKING PERMITTED; AT LEAST TWO DAYS IN OFFICE

What You’ll Do:

Build future on-vehicle communications framework and software execution framework.

• Develop internal communication library, network metrics systems, and tools to visualize data flow.
• Develop the monitoring Diagnostics system in autonomous vehicle (AV), to monitor the whole AV status at runtime to ensure AV safety.
• Ensure performance/repeatability/reliability/testability of cutting-edge algorithms and autonomous functionality.
• Drive system monitoring framework implementation, monitor the health of the entire AV fleet, design and implement an infrastructure to enable high performance autonomy components to reliably operate in our vehicles at fleet scales.

What You Bring:

Requires Bachelor’s in Computer Science, Robotics, or a closely related technical field

• Two years of working experience in software development for autonomous robotics.
• Experience must include:
  • C++,
  • C,
  • Python,
  • software engineering principles including:
    • software design,
    • source control management,
    • build processes,
    • code reviews, and
    • testing methods.

Salary Range: $168,121 to $214,200 per year

Hybrid working permitted; at least 2 days in office.

Ref Job No. N284

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range

$168,121 — $214,200 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter , LinkedIn , Instagram and YouTube .

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine-learning, and artificial intelligence.