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Data Compute Jobs in New York (NOW HIRING)

Join us as a Director, Head of Compute Engineering to play your part in that transformation. It ... Solid understanding of cloud security, data governance, and best practices for deploying and ...

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... Own compute turn-up from facility availability to ready-for-service: the stretch after the network ...

Compute Systems Engineer - VMware & Cisco

Secaucus, NJ · On-site

$52.75 - $66/hr

... data center servers. The role focuses on virtualization, network connectivity, and operational ... Required : • Four or more years of experience supporting data center compute infrastructure. • ...

Head of Capital Markets

Manhattan, NY · On-site

$100 - $150/hr

You have personally closed a $50M+ asset-backed or equipment-backed facility in compute, data center, or comparable infrastructure -- CoreWeave, Crusoe, Lambda, Nebius, Voltage Park, Applied Digital ...

Compute Engineer, Deployment

New York, NY · On-site +1

$164K - $206K/yr

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... Own compute turn-up from facility availability to ready-for-service: the stretch after the network ...

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... Own compute turn-up from facility availability to ready-for-service: the stretch after the network ...

Showing results 21-40

Data Compute information

What is a data compute?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What does a data compute do?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive in the data compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What cities in New York are hiring for Data Compute jobs?

Cities in New York with the most Data Compute job openings:

Infographic showing various Data Compute job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Member of Technical Staff - Distributed Systems Engineer

Visa Hunt

Manhattan, NY • On-site

$140 - $210/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 4 days ago


Job description

Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

Foundations Vision:

Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.

What This Team Does

Build and operate the core shared services that power our research, training, and production environments. These systems form the foundational platform that multiple teams depend on for model development, deployment, and evaluation, unifying data, compute, and workflow management across the stack while enabling rapid experimentation and reliable production systems.

  • Build and operate shared services that multiple teams rely on across research and production workflows.

  • Define and uphold reliability targets through SLIs, SLOs, and healthy on-call practices.

  • Maintain strong operational readiness with runbooks, incident playbooks, and capacity planning.

  • Ensure correctness and performance under load, addressing consistency, tail latency, and failure modes.

  • Develop APIs, SDKs, and internal platforms that enable high-velocity experimentation and iteration.

  • Reduce operational burden through better tooling, standardization, and platform patterns that scale across teams.

What You'll Work With
  • Container Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.

  • Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.

  • Service Development Stack: gRPC, Protobuf, Go, Rust, C++.

  • Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.

About You
  • Strong software engineering background with experience shipping production-grade systems.

  • Experience designing APIs, services, or developer platforms that handle large-scale data or compute.

  • Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.

  • Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.

  • Excited about zero to one challenges, building new systems rather than maintaining legacy ones.

  • Collaborative, clear communicator, and comfortable working across research and infra boundaries.

  • Motivated by creating the software backbone for the world’s most capable open-weight AI systems.

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.

  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.

  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.

  • Meals: Lunch and dinner are provided in the office daily.

  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.

  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.

  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.

  • Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

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