Position Summary
Two Sigma is building a new team to drive the firm's strategic transition from CPU-centric to GPU-accelerated computation. Accelerated Compute sits within AI Innovation and operates at the intersection of quantitative modeling workflows, GPU performance engineering, and infrastructure strategy.
You deeply understand the quantitative modeling lifecycle: feature engineering, simulation, backtesting, model validation, and the tooling built around it. You will work directly with modelers to identify CPU-bound workflows that are candidates for GPU acceleration, re-engineer pipelines, and ensure that the transition delivers genuine improvement rather than complexity.
You will take on the following responsibilities:- Analyze existing CPU-based modeling workflows to identify high-impact GPU acceleration opportunities
- Re-engineer modeling tooling and pipelines to exploit GPU parallelism
- Partner with modelers to validate that GPU-accelerated workflows maintain correctness and improve throughput
- Inform GPU infrastructure requirements based on actual workload characteristics
- Bridge between modeling teams and GPU specialists, translating domain requirements into technical specifications
You should possess the following qualifications:- BS or MS in Science, Technology, Engineering or Math
- Minimum 1 year of experience required; 2-10 years of experience preferred
- Deep experience with quantitative modeling platforms and tooling - you've built or maintained the systems that modelers use daily
- Understanding of the full modeling lifecycle: feature engineering, simulation, model training, validation, and production deployment
- Familiarity with Python scientific computing ecosystem (NumPy, Pandas, scikit-learn)
- Strong relationship-building skills - you'll spend significant time working directly with modelers
Preferred qualifications:- Experience profiling and optimizing computational workloads
- Familiarity with NVIDIA GPU-accelerated scientific computing ecosystem (CuPy, RAPIDS, cuDF)
- Background in distributed computing or HPC
You will enjoy the following benefits:- Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
- Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
- Learning: Tuition reimbursement, conference and training sponsorship
- Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
