Research Associate, Semiconductors & AI Infrastructure - 26229

Enverus • Calgary, AB

65d

About The Position

The Utilities & AI Infrastructure team covers the full stack, from grid interconnection and utility rate cases down to chip architecture, accelerator supply chains, and data-center power delivery. This is a research role, not a design or engineering role. We're looking for an electrical engineer who wants to apply their technical background to competitive intelligence and market analysis. You'll translate technical depth into research that executives, investors, and operators can act on. Every analyst, including those at entry level, owns their projects end to end and pulls in senior teammates for guidance. This hands-on, problem-by-problem ownership is how you build the judgment to add real value for clients.

Requirements

• A clear, precise writer who can make technical knowledge land for a non-engineer audience.
• Bachelor's degree or higher in electrical engineering, computer engineering, or a closely related field.
• A strong grasp of digital systems, power electronics, or semiconductor fundamentals. You don't need to have taped out a chip, but you need to understand what a tapeout is and why it costs $50M.
• Ability to read and critically evaluate technical documentation: data sheets, white papers, patent filings, regulatory submissions.
• 0 to 4 years of experience. New graduates with strong research instincts are welcome.
• Hands-on experience with power systems, signal integrity, thermal management, or chip packaging, from coursework, internships, or personal projects.
• Prior exposure to the semiconductor industry through an internship, research, or closely following the space (TSMC, NVIDIA, AMD, Broadcom, Marvell, etc.).
• Familiarity with AI training and inference hardware: GPU clusters, networking topologies, memory-bandwidth constraints.
• Interest in energy markets, grid infrastructure, or the power economics of large-scale compute.
• Experience turning technical research into written deliverables.

Responsibilities

• Analyze AI accelerator architectures (GPUs, ASICs, networking silicon) and their downstream implications for power consumption, thermal design, and infrastructure build-out.
• Track semiconductor supply-chain developments such as advanced-packaging capacity, HBM supply, and leading-edge fab utilization, and translate them into demand signals for power and cooling infrastructure.
• Monitor hyperscaler and co-location data-center build-out: rack-density trends, power-delivery design, cooling-technology transitions, and site selection.
• Synthesize technical findings into written research briefs, supply-chain maps, and competitive-intelligence products for internal and client audiences.
• Work with Enverus proprietary energy datasets to ground technical analysis in real grid and interconnection data.
• Cover earnings calls, investor days, conference presentations, and technical whitepapers from chipmakers, ODMs, OEMs, and utilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level