Title: Application Engineer - Onsite
Mandatory skills:
hardware engineering, failure analysis,
DPUs, AI NICs, PCIe, high-speed networking,
Linux diagnostics, Python, Bash, scripting languages,
validation tools, Hardware, Design, Manufacturing,
debugging, AI-powered tools, RMA workflows, Salesforce, automation, streamline validation,
Salesforce UAT, 8D reports, diagnostic scripts, RMA validation workflows,
data analysis, mechanical assembly, cable routing, failure investigations,
Salesforce, case management, workflow tracking, manufacturing quality, reliability engineering
Description:
Application Engineer – HW Quality
THE ROLE
The ideal candidate is a hands-on hardware engineer with strong debugging skills, a disciplined approach to root-cause analysis, and experience with high-speed systems in Linux-based environments. You are detail-oriented, collaborative, and comfortable driving complex issues through resolution. You communicate clearly and effectively across engineering, operations, and manufacturing teams, and can drive cross-functional agendas with confidence. You actively seek out AI-powered tools and approaches to work more efficiently and expect them to be part of your everyday workflow.
KEY RESPONSIBILITIES
Manage and track failure cases and RMA workflows in Salesforce; develop and maintain automation to streamline validation and reporting; support Salesforce UAT activities as required
Lead failure analysis of returned client and AI NIC hardware; perform structured RCA and author FA and 8D reports with actionable corrective actions
Develop and maintain diagnostic scripts, test procedures, RMA validation workflows, and custom debug tooling using Python, Bash, or equivalent
Identify recurring failure trends through data analysis and partner with Hardware, Design, and Manufacturing teams to drive systemic corrective actions
Support hardware debug in Linux-based environments, including mechanical assembly and cable routing review as part of failure investigations
Manage and track failure cases and RMA workflows in Salesforce; develop and maintain Salesforce-based automation to streamline validation workflows and reporting
REQUIRED QUALIFICATIONS
Strong bias toward leveraging AI tools to accelerate debugging, automate repetitive workflows, and improve overall engineering efficiency
5+ years of experience in hardware engineering, failure analysis, or related roles
Strong knowledge of DPUs, AI NICs, PCIe, and high-speed networking
Experience with Linux-based diagnostics
Proficiency in Python, Bash, or other scripting languages
Experience developing custom debug and validation tools
Strong attention to detail and problem-solving skills
Excellent verbal and written communication skills with the ability to drive cross-functional collaboration and align stakeholders across Hardware, Design, Manufacturing, and Operations teams
PREFERERRED QUALIFICATIONS
Experience with Salesforce for case management or workflow tracking
Background in manufacturing quality, reliability engineering, or RMA processes
ACADEMIC CREDENTIALS
Bachelor’s in Computer Engineering, or a related field preferred
Notes:
Onsite
VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.
Contact Details :
Account co-ordinator: Godwin D Antony Raj, Phone No: , Email id:
VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
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