16 часов назад
Principal Edge Architect - Platform (NVIDIA Thor)
159 120 - 258 570$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Edge Architect - Platform (NVIDIA Thor): Defining and deploying scalable edge platform architecture for machine autonomy applications, with an accent on real-time compute, sensor interfaces, networking, safety, and reliability. Focus on balancing GPU, CPU, memory, storage, bandwidth, latency, power, thermal, and serviceability constraints across autonomous machines and deployment environments.
Location: Onsite five days a week at the Irving, Texas office; up to 25% domestic travel. Domestic relocation assistance is available, and visa sponsorship is available for eligible applicants.
Salary: $159,120–$258,570 per year
Company
develops connected machines, software, autonomy, and AI solutions for safer, more productive, and more sustainable construction operations.
What you will do
- Own the architecture strategy and roadmap for the edge platform running machine autonomy applications.
- Define compute, input/output, networking, memory, storage, runtime, diagnostics, monitoring, data logging, and transmission capabilities.
- Make platform tradeoff decisions across GPU and CPU performance, bandwidth, latency, power, thermal limits, reliability, serviceability, scalability, and cost.
- Align architecture across perception, robotics, machine platform, simulation, validation, safety, cybersecurity, operations, suppliers, and product teams.
- Define standard platform configurations for different machine types, sensor packages, autonomy feature levels, and deployment environments.
- Identify capability gaps and technical risks while driving platform improvements, supplier engagement, upgrade paths, and long-term edge compute strategy.
Requirements
- Expert knowledge of platform architecture, data architecture, analytical thinking, communication, and organizational leadership.
- Strong experience designing edge compute platforms for autonomy, robotics, vehicle systems, industrial machines, or real-time embedded applications.
- Deep understanding of GPU, CPU, memory, storage, networking, input/output interfaces, sensor bandwidth, latency, power, thermal behavior, reliability, and serviceability tradeoffs.
- Experience with NVIDIA edge AI platforms and their software ecosystem, including GPU-accelerated inference and hardware/software optimization.
- Ability to define scalable platform configurations across machine types, sensor packages, autonomy functions, and deployment environments.
- Ability to collaborate with cross-functional engineering, safety, cybersecurity, operations, supplier, and product teams.
Culture & Benefits
- Medical, dental, and vision benefits.
- Paid time off, holidays, volunteer time, and parental and adoption benefits.
- 401(k) savings plans, HSA, FSA, disability benefits, and life insurance.
- Career development, tuition reimbursement, incentive bonus, employee discounts, and health lifestyle programs.
- Employee assistance and voluntary benefits programs.
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