Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium

Capgemini; Palo Alto (CA); On-site; USD 70,000 - 109,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Job summary

Capgemini in Palo Alto seeks a Senior Machine Learning Systems Engineer to lead Warranty Return Management design and optimization in an automotive Tier 1 context. You will collaborate with Engineering, Quality, Supply Chain, and Product Support to implement scalable return processes and service-level standards.

The role requires deep knowledge of warranty management, RMA operations, and failure analysis, with experience in SAP/PLM and defect/service tools.

Qualifications

• 10+ years of experience in Automotive Warranty Operations, Product Support, or RMA Management.
• Experience supporting OEM customers and post-SOP operations.
• Tier 1 supplier experience strongly preferred.

Responsibilities

• Lead design of the end-to-end Warranty Return Management operating model.
• Define RMA lifecycle processes, controls, and governance.
• Establish warranty policies, return criteria, and escalation procedures.
• Align processes with OEM requirements and automotive best practices.
• Define processes for return intake, tracking, disposition, and closure.
• Develop governance structures, KPIs, and executive reporting for warranty performance.

Skills

Automotive Warranty Ops

Product Support

RMA Management

Field Quality

Technical Support

OEM Experience

Tools

SAP

PLM

Defect Management Tools

Service Management Tools

Job description

Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium (Contract)

Contract (2 months 14 days)

Published 2 days ago

problem - solving and communication skills

Warranty operations

RMA management

performance management

Quality Methodologies

failure analysis

Lead the design and optimization of Warranty Operations, Return Material Authorization (RMA), Product Investigation, and OEM Support processes within an Automotive Tier 1 environment.

The SME will provide industry expertise and best practices for warranty claim management, product returns, failure analysis, reverse logistics, and customer support operations. This role will partner closely with Engineering, Quality, Supply Chain, Logistics, Product Support, and Business Process teams to establish a scalable and compliant Warranty Return Management capability.

Key Responsibilities:

Warranty & RMA Strategy:

Lead design of the end-to-end Warranty Return Management operating model.

Define RMA lifecycle processes, controls, and governance.

Establish warranty policies, return authorization criteria, and escalation procedures.

Align processes with OEM customer requirements and automotive industry best practices.

Warranty Operations & Returns Management:

Define processes for:

Return intake and authorization

Product tracking and traceability

Disposition management

Warranty recovery and closure

Establish service-level expectations and customer communication standards.

Develop processes to manage No Trouble Found (NTF) returns and repeat failures.

Define investigation workflows for returned products

Software log analysis

Root-cause analysis

Create disposition frameworks covering repair, rework, scrap, and engineering retention.

Governance & Performance Management

Define warranty governance structure and operating controls.

Establish KPIs and performance measures, including:

Aging and backlog

Warranty turnaround time

NTF rate

Warranty exposure

Support executive reporting and operational reviews.

Warranty Return Management Operating Model

End-to-End RMA Framework

Warranty Governance Model

Failure Analysis Framework

Product Disposition Framework

Warranty KPI Catalogue

Warranty & RMA Roadmap Recommendations

Mandatory Skills:

10+ years of experience in:

Automotive Warranty Operations

Product Support

RMA Management

Field Quality or Technical Support

Experience supporting OEM customers and post-SOP operations.

Tier 1 supplier experience strongly preferred.

Knowledge & Skills:

Deep understanding of:

Warranty management processes

RMA operations

Product investigation and failure analysis

Customer support and escalation management

Knowledge of automotive quality methodologies including:

8D

APQP

PPAP

IATF 16949

Familiarity with SAP, PLM, defect management, and service management tools.

Leadership & Communication:

Ability to influence cross-functional teams and executive stakeholders.

Excellent analytical, problem-solving, and communication abilities.

The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.