Staff Engineer, Platform Engineering

Posted 12 Days Ago
Be an Early Applicant
Pittsburgh, PA, USA
Hybrid
172K-229K Annually
Expert/Leader
Artificial Intelligence • Automotive • Machine Learning • Transportation
Join us as we make driverless vehicles a safe, reliable, and accessible reality.
The Role
As a Staff Engineer in Platform Engineering, you'll design cloud architecture components, enhance Kubernetes platforms, improve reliability standards, and drive cost optimization while integrating AI tools to boost developer productivity.
Summary Generated by Built In

Mission Summary:
As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

  • Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
  • Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
  • Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
  • Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
  • Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput

What we're looking for:

  • Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
  • Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
  • Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
  • Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
  • Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
  • Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff

Bonus points (not required):

  • Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
  • Prior experience with large-scale machine learning training pipelines
  • Experience leading technical projects in a globally distributed team
  • Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

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
$172,000$229,000 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.

Higher purpose, greater impact.

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.

Skills Required

  • Bachelor's or Master's in Computer Science, Engineering, or a related field
  • 9 years in Software or Infrastructure Engineering
  • Deep knowledge of Kubernetes internals and ecosystem
  • Experience migrating workloads between on-prem data centers and cloud providers
  • Experience with Infrastructure-as-Code and observability tooling
  • Expert in architecting AI-driven operations leveraging LLMs
  • Ability to influence technical roadmaps and mentor senior staff
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The Company
Santa Monica, CA
765 Employees
Year Founded: 2020

What We Do

Our team is commercializing a world-class driverless system. The Motional team is behind some of the industry’s largest leaps forward in the last decade, 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 most-established public robotaxi fleet. Strategically formed by Hyundai Motor Group, one of the world’s largest vehicle manufacturers offering smart mobility solutions, and Aptiv, a global technology leader in advanced safety, electrification, and vehicle connectivity, Motional is fundamentally changing how people move through their lives.

Why Work With Us

Our leadership team has been working in this industry for decades and includes renown early innovators in driverless technology. We are creating a future where transportation is safe, reliable, and accessible. Join our team in revolutionizing the industry that will change how the world moves.

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