Senior Program Manager to manage customer-facing neocloud programs within the Revenue Execution Program Management Office (REPM), translating commitments for large-scale GPU infrastructure and AI cloud capacity into integrated execution plans.
Compensation
The base pay range that the Company reasonably expects to pay for this position in the United States is $117,000 - $147,000; the pay ultimately offered may vary based on business considerations, including job-related knowledge, skills, experience, and education. The position is bonus-eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.
Responsibilities
Manage assigned neocloud programs across sites and phased capacity expansions
Translate contracted scope and customer requirements into integrated milestones, accountable owners, dependencies, readiness gates, and delivery baselines
Manage the critical path across GPU and component availability, rack integration, factory testing, shipment, installation, cluster bring-up, validation, and customer acceptance
Coordinate customer, data center, OEM, network, and internal technical teams on power, cooling and liquid-cooling interfaces where applicable, rack space, cabling, connectivity, storage, site access, and deployment staffing before equipment arrival
Maintain integrated schedules, risk and issue registers, action and decision logs, readiness checklists, and change controls
Requirements
Bachelor’s degree in Engineering, Computer Science, Business, Supply Chain, Operations, or a related field
Work closely with robotics customers and Ethernovia engineering teams to develop optimized system-level connectivity architectures.
Compensation
The annual salary range for this position is $200,000 - $275,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.
Responsibilities
Develop end-to-end connectivity architectures for humanoid, mobile, and industrial robots.
Define networking solutions connecting AI processors, cameras, sensors, controllers, and distributed computing nodes.
Create system-level block diagrams, connectivity blueprints, and reference architectures.
Optimize designs for bandwidth, latency, determinism, power, cost, and reliability.
Work directly with robotics OEMs to understand requirements and recommend solutions.
Test environment setup: TestBed HW and SW environment setup
Validation & Testing: Adjust test SW and run the test cases.
Issue Resolution: Execute testing cycles, report results, and perform initial root-cause analysis on hardware/firmware failures with support from senior staff.
Documentation: Maintain precise technical documentation for system configurations and test methodologies.
Refer a friend: Referral fee program
Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process.
We are committed to advancing your career and look forward to supporting your professional growth.
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Linux Systems Infrastructure Engineers — Multiple Clients
Please only apply if you have an intermediate to Senior level background in a large enterprise Linux environment, where you are working down to the kernel layer, in a massive data environment in a low latency environment.
I'm expanding my network of Systems Engineers with backgrounds in large-scale Linux infrastructure, cloud platforms, Kubernetes, high-performance computing, GPU environments, and distributed systems.
I'm especially interested in connecting with engineers who have worked with complex compute environments, infrastructure automation, large data platforms, advanced networking, research computing, or production-scale systems.
Relevant backgrounds may include:
• Linux Systems Engineering (down to the Kernal layer)
• Cloud Infrastructure
• Kubernetes / Container Platforms
• HPC and Research Computing
• GPU / AI Infrastructure
• Distributed Storage
• Python or Bash Automation
• High-Speed Networking
• Infrastructure Reliability
• Large-Scale Compute Clusters
Locations of interest on site could include the Manhattan NY, Houston TX, Montreal CA, Durham, NC, and Pittsburgh, PA markets.
Salary: Open, commensurate with experience. They will pay for extreme stand out talent.
If this matches your background, I'd be interested in connecting and learning more about the types of opportunities you would consider.
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GPU Platform SME (AI Infrastructure Validation)Lenovo · Morrisville, US