---
title: 'Cloud Computing Engineer at PDT Partners'
canonical: 'https://feeny.ai/job/cloud-computing-engineer-pdt-partners-new-york-0h1agnb3kycn'
type: 'job'
last_seen: '2026-10-18'
---

# Cloud Computing Engineer at PDT Partners

- **Company:** PDT Partners
- **Location:** New York, NY
- **Posted:** 2026-09-28
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.greenhouse.io/pdtpartners/jobs/8237144

## Job description

The Cloud Computing team is a group of experts solving computing problems in the critical path of Research. We work directly with Research and Model Implementation teams and provide them with platform tools and computing resources to take their ideas from inception to real tradable products. We are looking for an ambitious and operationally minded software engineer to join our team as we mature and scale our cloud HPC platform to the next iteration of our firm-wide Research platform.

This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.

Why join us?

PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.

Responsibilities:

We are a small flat team sitting at the cross-section of research, implementation, and platform infrastructure. Our team responsibilities span many areas. Including:

- Design and implementation of cloud-based HPC systems.  Our projects involve equal parts engineering and operations for success in our fast-moving environment. You will be expected to conceive and implement projects small and large in the intersection of HPC scheduling, metrics, containerization, software distribution, accelerated compute performance/efficiency, cloud architecture.
- Running our HPC plant day-to-day.  Our research environment is up 24/7, and we want to keep it that way. Everybody on the team contributes to the support of our platform, which thankfully is light because of our automation and quality work.
- Implementing automation.  We will always choose to work smart over working hard. You will be responsible for conception and implementation of automation from CI/CD pipelines to production metrics and monitoring of our cloud HPC platform.
- Obsessive User Focus.  All members of the team are expected to partner with researchers and engineers to deliver high-quality cloud HPC systems that are efficient and reliable. This includes leading projects to evolve it as our needs change.
- Capacity management and benchmark optimization.  Our demand for scale and performance is constant and involves challenging optimization problems for workloads critical to research and trading

Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.

- Bachelors or Masters degree in an Engineering or Applied Sciences field from a rigorous academic program or equivalent professional experience.
- 5+ years of experience building and shipping software systems
- 2+ years running production compute platforms and scheduling systems.
- Mastery of core software engineering concepts such as system design, testing, debugging, building reliable production systems with fluency in a language such as Python, Go, Rust etc.
- Experience with a cloud-based infrastructure-as-code tool such as Terraform
- Excellent written and verbal communication skills
- Experience working with or supporting researchers and/or other developers is a plus
- Hands-on experience managing inferencing and training hardware at scale
- Knowledge of NVIDIA GPU management, Kubernetes, Slurm, and the wider large-scale compute ecosystem

The salary range for this role is between $180,000 and $250,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see [PDT’s privacy notices](https://pdtpartners.com/legal-notices).

## About PDT Partners

## Company Overview
- **One-liner**: PDT Partners is a quantitative asset management firm that uses a rigorous scientific, systematic, and model-driven approach to identify and exploit inefficiencies in global financial markets.
- **Entity Type**: Private (spun out of Morgan Stanley in 2013)
- **Headquarters**: New York, New York, United States (with an office in London, UK)
- **Founded**: 1993 (as a proprietary trading group within Morgan Stanley; became independent in 2013)
- **Founders**: Peter Muller (Founder & CEO)

## Core Business
- **Primary industry**: Investment Management / Quantitative Finance
- **Target customers**: Institutional investors (the firm manages assets for external clients, but the business operates as an investment manager)
- **Mission or purpose statement**: While the firm does not publish a single corporate mission statement, its culture page emphasizes “alleviating poverty through education and workforce development” via the PDT Give philanthropy program, and on the careers page it states: “We are a talent-driven organization… raw ability and judgment matter more to us than skills and experience.”

## Products & Services
PDT Partners is a single-product firm at its core — a quantitative investment management platform — but internally it operates through several teams that develop and execute strategies:
- **Quantitative Investment Strategies**: Systematic, model-driven trading across multiple asset classes, built on proprietary research and data science.
- **Technology & Infrastructure**: Cloud engineering, platform engineering, trading infrastructure, and post-trade software that support the firm’s research and execution.
- **Business Operations**: Fund accounting, investor relations, tax, and recruiting functions that enable the firm to run smoothly.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private firm)
- **Key Metric**: Multiple billions of dollars in assets under management (AUM) — exact figure not publicly available
- **Notable Investors / Partners**: Spun out of Morgan Stanley after a 19-year track record inside the bank; no external lead investors listed. The firm is owned by its partners.
- **Growth Signals**:
  - Headcount: ~177 employees (+6% YoY, +14 people) as of mid-2026; the firm describes itself as “around 200 scientists, engineers, and professionals.”
  - High employee retention is a stated strength; the LinkedIn ratings show a 4.4 overall (4.7 culture, 4.4 compensation, 4.5 work-life balance).
  - Active hiring across Technology, Research, and Business Operations roles (14 open positions as of early July 2026).

## Competitive Advantages
- **Talent density**: The firm explicitly hires for raw ability and judgment over specific credentials, leading to a highly selective, intellectually rigorous team.
- **Long track record**: Founded in 1993 (32+ years) and spun out with a documented 19-year track record – rare in quantitative finance.
- **Aligned incentives**: Compensation is tied to the firm’s long-term investment performance through deferred compensation, encouraging a multi-year perspective.
- **Collaborative culture**: Described as “collaborative” and “kind” by employees, with a growth mindset that encourages learning from mistakes and open feedback.
- **High retention**: The firm prides itself on keeping talent, which preserves institutional knowledge and reinforces culture.

## Strategic Focus
- **Continued investment in quantitative research**: Hiring Applied ML Scientists, Quantitative Researchers, and Research Engineers suggests a focus on pushing the frontier of alpha generation.
- **Scalable infrastructure**: Cloud and platform engineering roles indicate a move toward modern, cloud-native trading infrastructure.
- **Global presence**: Maintaining offices in New York and London to access talent and markets on both sides of the Atlantic.

## Why Work Here
- **Culture**: Rated 4.7 on LinkedIn; described as “collaborative,” “intellectually free,” and with a “growth mindset.” Employees cite kindness and mutual respect.
- **Compensation**: “No fixed or pre-determined upper bounds” – generous, long-term deferred compensation tied to firm performance; LinkedIn confirms a 4.4 compensation rating.
- **Benefits**: Full medical/dental/vision, 401k matching, unlimited sick leave, subsidized fitness, emergency back-up child/elder care, annual conference/seminar attendance, tuition reimbursement, charitable match, and an active philanthropy program (PDT Give).
- **Work environment**: Casual, flexible, stocked pantries, company meals, outings, and ping-pong/poker/trivia. Internally, employees host book clubs, speaker series, and training.
- **Work Model**: Not explicitly hybrid or remote; the careers page emphasizes “our work environment is comfortable, casual, and flexible,” but given the roles (trading infrastructure, research), on-site presence in New York or London is likely expected.
- **Learning**: Internal training, external speakers, annual conferences, tuition reimbursement, and a strong feedback culture.

## Sources
1. [pdtpartners.com](https://pdtpartners.com/)
2. [pdtpartners.com/careers](https://pdtpartners.com/careers)
3. [pdtpartners.com/culture](https://pdtpartners.com/culture)
4. [linkedin.com/company/pdt-partners-llc](https://www.linkedin.com/company/pdt-partners-llc)
5. [job-boards.greenhouse.io/pdtpartners](https://job-boards.greenhouse.io/pdtpartners)

## Other roles at PDT Partners

- [Data Strategist](https://feeny.ai/job/data-strategist-pdt-partners-new-york-e7eamb7bs2yp) — New York, NY
- [Summer 2027 Quantitative Research Intern - PhD/Postdoctoral](https://feeny.ai/job/summer-2027-quantitative-research-intern-phd-postdoctoral-pdt-partners-new-york-cn2dcs2qmq93) — New York, NY
- [Summer 2027 Systems Engineering Intern](https://feeny.ai/job/summer-2027-systems-engineering-intern-pdt-partners-new-york-gz0zs432n49f) — New York, NY
- [Summer 2027 Software Engineering Intern](https://feeny.ai/job/summer-2027-software-engineering-intern-pdt-partners-new-york-36cmt6tj1ja1) — New York, NY
- [Applied ML Scientist](https://feeny.ai/job/applied-ml-scientist-pdt-partners-new-york-q8n4cjfeqqw3) — New York, NY
- [Software Engineer](https://feeny.ai/job/software-engineer-pdt-partners-london-mvefy9jatada) — London, United Kingdom
- [Performance Engineer](https://feeny.ai/job/performance-engineer-pdt-partners-new-york-cjraz0n2eycm) — New York, NY
- [Quantitative Researcher](https://feeny.ai/job/quantitative-researcher-pdt-partners-new-york-mgqfxb5jsqcx) — New York, NY
- [Research Engineer](https://feeny.ai/job/research-engineer-pdt-partners-new-york-vtqw9h5t0szq) — New York, NY
- [Trading Operations Analyst (Asia Market Hours)](https://feeny.ai/job/trading-operations-analyst-asia-market-hours-pdt-partners-new-york-wk8931zva5ja) — New York, NY