Senior ASIC Methodology Engineer
Location
Canada
Posted
106 days ago
Salary
$135K - $185K / year
Seniority
Senior
Job Description
Senior ASIC Methodology Engineer
NVIDIA
• Take a comprehensive view of the ASIC development lifecycle, identifying cross-stage bottlenecks and opportunities where automation and AI can improve predictability, convergence, and turnaround time. • Identify, curate, and leverage real-time data to enable effective AI models and analytics, working with infrastructure teams to ensure scalable and secure data pipelines. • Establish quantitative metrics to measure efficiency, quality, and cycle-time improvements; use data-driven insights to guide methodology decisions and prioritize investments. • Serve as a technical catalyst within both the team and the wider company by sharing best practices, publishing internal guidelines, and mentoring engineers on emerging AI-enabled development techniques. • Track advances in AI, EDA, and hardware design research, evaluating their applicability and guiding strategic bets that align with long-term product and technology roadmaps.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).
- 5+ years of proven industry experience.
- A proven track record developing groundbreaking ASIC design frameworks and flows.
- First-hand experience with RTL, functional verification, formal verification, or physical design would be an asset.
- High-level programming skills including experience with Python, PERL, Make, and shell scripting.
- Experience with AI frameworks including knowledge of agentic flow development.
- Standout colleague with excellent verbal and written communication skills.
Benefits
- Equity and benefits
Related Guides
Related Categories
Related Job Pages
More Engineer Jobs
• Own end-to-end perception pipelines deployed to operational systems • Deliver high-reliability solutions aligned with mission requirements • Design, train, and optimize perception models for maritime environments • Develop object detection, classification, and tracking systems • Work with large vision models (ViT, CLIP, SAM, or similar) • Fuse multi-modal sensor data (camera, radar, lidar) into unified perception outputs • Collaborate with hardware teams to select and integrate sensors • Develop and validate low-level sensor drivers for high-integrity data pipelines • Deploy models using NVIDIA Triton Inference Server • Optimize inference for latency and throughput on edge hardware • Apply quantization, pruning, and other optimization techniques • Integrate perception outputs into autonomy stacks alongside mission software and platform teams • Support troubleshooting of perception performance in operational environments • Define metrics and evaluation frameworks to monitor deployed system health • Investigate perception failures and drive resolution across teams • Partner with operators and customers to translate field challenges into engineering solutions
Nuclear Field Services Engineer
Switzerland Global EnterpriseWe support Swiss SMEs in their international business and help innovative foreign companies to establish in Switzerland.
• Support nuclear power plant outages and on‑site service activities at customer locations in Europe and the U.S., including participation in multiple outages each year that require extended travel. • Plan, schedule, and execute field service projects during customer outages, ensuring work is delivered safely, on time, and to quality standards. • Provide on‑site technical leadership, coordinating daily activities and supervising field teams and contractors during outage execution. • Build and maintain effective working relationships with customer and supplier leadership, addressing technical, operational, and compliance matters. • Support local nuclear service operations in Spain between outages, including planning activities, cost estimates, and customer coordination. • Provide expertise in the use and maintenance of specialized tools and equipment at customer nuclear facilities. • Contribute to continuous improvement by identifying customer needs, operational improvements, and service opportunities. • Ensure strict adherence to safety, quality, and regulatory requirements at all times. • Collaborate with broader field service teams to support nuclear service projects and operational goals.
• Talk to our users to understand their goals and challenges • Help customers design and optimize their Metabase implementation • Guide customers how to get data from all the various places it lives, transform it into useful shapes, and convert their questions into actual queries that can be executed. • Solve complex problems and troubleshoot customer issues • Collaborate with our technical communicators to create educational materials for our customers • Serve as the voice of the customer to our product and engineering teams and help drive product development
• Take ownership of and improve the model training and deployment pipeline • Ensure models train reproducibly, deploy safely, and perform reliably in production • Actively contribute to ongoing analyses, including calibrations, pilot studies, and model performance investigations • Collaborate with technical and domain experts to improve model quality and detect problems early




