Research Associate: Semiconductors & AI Infrastructure

Energy Acuity; Denver (CO); On-site; USD 90,000 - 130,000; Full time

Job summary

Enverus is seeking a Research Associate in Semiconductors & AI Infrastructure to translate deep technical knowledge into market intelligence for executives and investors. You’ll analyze AI accelerator architectures, track supply chains, and monitor data-center build-outs, ground-truthing insights with grid and interconnection data.

The role emphasizes end-to-end ownership with guidance from senior teammates, and targets graduates with strong research instincts and a passion for energy markets

Qualifications

• Clear 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.
• Strong grasp of digital systems, power electronics, or semiconductor fundamentals.
• 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.

Skills

Clear writing

Semiconductor fundamentals

Power electronics

Technical documentation reading

AI hardware familiarity

Education

Bachelor's degree or higher in electrical engineering, computer engineering, or a closely related field

Job description

Enverus is seeking a Research Associate in Semiconductors & AI Infrastructure to translate deep technical knowledge into market intelligence for executives and investors. You’ll analyze AI accelerator architectures, track supply chains, and monitor data-center build-outs, ground-truthing insights with grid and interconnection data.

The role emphasizes end-to-end ownership with guidance from senior teammates, and targets graduates with strong research instincts and a passion for energy markets