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1–2 jobs· newest first

Managing Consultant, AI Architect
Capgemini · Houston, US
$180K–$205KFull-time
Manager, System Software Engineering - Infrastructure Engineering and Automation
NVIDIA · Pune, India
Manager

+10K new in the last hour

Managing Consultant, AI Architect

Capgemini · Posted Nov 11, 2026

Houston, Texas, United States
Full-time
$180K–$205K per year
9–12 years

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Lead complex AI programs, senior technical relationships, practice standards, and capability development.

Compensation

The base compensation range for this role in the posted location is: $180,000-$205,000

Responsibilities

Lead multi-system AI programs.
Own CTO and Chief Architect relationships.
Set engineering and evaluation standards.
Develop senior engineers and leaders.
Drive thought leadership.

Skills

AI literacy Generative AI concepts Agentic AI LLMs Governed deployment Multi-team engineering programs Talent development External technical presence

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs

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Manager, System Software Engineering - Infrastructure Engineering and Automation

NVIDIA · Posted Nov 6, 2026

Pune, Maharashtra, India
Manager
3+ years

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Lead and grow infrastructure and validation engineering teams supporting NVIDIA’s Local AI and PC gaming R&D.

Responsibilities

Lead and grow infrastructure and validation engineering teams responsible for CI/CD, test development and automation, regression analysis, failure triage and debugging support, and lab operations, including hardware health, maintenance, and recovery.
Define and drive the team’s technical roadmap, priorities, and delivery commitments across Local AI and PC gaming, balancing long-term infrastructure improvements with day-to-day engineering needs.
Drive the development and deployment of tests and benchmarks that reflect real-world usage, supported by automation for environment setup, test execution, log collection, and results analysis.
Build tools that help reproduce failures and analyze logs and system metrics.
Partner with engineering teams to identify root causes and resolve functional issues and performance bottlenecks across the hardware and software stack.

Requirements

Bachelor's or master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field

Skills

system programming operating systems concepts

memory management

resource management

software–hardware interaction

performance optimization

instrumentation

test development

regression analysis

debugging support

test orchestration

capacity planning

technical strategy

operational goals

multi-team engineering programs

GPU programming

Windows platform

Benefits

comprehensive benefits package

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