Field Engineer, US at Wayve

Sunnyvale, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, Autonomous VehiclesIndustries

Requirements

(No explicit requirements listed in the job description.)

Responsibilities

Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime
Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows
Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively
Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported
Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations
Participate in on-call rotations

Skills

Key technologies and capabilities for this role

Fault TriageHardware RepairSoftware DiagnosticsTroubleshootingSafety ProtocolsFleet OperationsProblem Solving

Questions & Answers

Common questions about this position

What is the location for this Field Engineer position?

The position is located in Sunnyvale.

What is the salary for this role?

This information is not specified in the job description.

What are the key responsibilities of the Field Engineer?

The role involves on-site fault triage and resolution for vehicle software and hardware, rapid 5-minute response times, collaboration with teams, clear communication with the lead, and on-call rotations.

What is Wayve's company culture like?

Wayve fosters a diverse, fair, and respectful culture that values unique skills and perspectives, embracing inclusivity regardless of protected characteristics, and supports team members to deliver impact.

What kind of experience makes a strong candidate for this role?

Strong candidates should have hands-on technical skills in diagnosing and repairing vehicle software and hardware, problem-solving abilities, effective communication, and the capacity to work rapidly in a fast-paced environment while adhering to safety protocols.

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters

2017Year Founded

$1,272.3MTotal Funding

SERIES_CCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.

Regulatory challenges may delay the deployment of Wayve's technology with Uber.

Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.

Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.

Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.

The expansion into the U.S. market taps into a larger talent pool and partnerships.

Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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