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Qube Jobs (NOW HIRING)

Corvil Engineer

New York, NY · On-site

$150K - $250K/yr

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group ...

FPGA Engineer

Chicago, IL · On-site

$180K - $280K/yr

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group ...

FPGA Engineer

Chicago, IL · On-site

$180K - $280K/yr

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group ...

Corvil Engineer

New York, NY · On-site

$150K - $250K/yr

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group ...

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Qube information

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How much do qube jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for qube in the United States is $62.83, according to ZipRecruiter salary data. Most workers in this role earn between $55.05 and $70.19 per hour, depending on experience, location, and employer.

What are the most common challenges faced by Qube engineers when integrating with legacy systems?

Qube engineers often encounter challenges when integrating new solutions with legacy systems, such as compatibility issues, limited documentation, and outdated technologies. These hurdles may require creative problem-solving and close collaboration with cross-functional teams, including IT and operations, to ensure seamless data flow and system performance. Proactively communicating with stakeholders and thoroughly testing integrations are key strategies for overcoming these challenges. Adapting to evolving requirements and maintaining system reliability are essential skills for success in this role.

What are the key skills and qualifications needed to thrive as a Qube developer, and why are they important?

To thrive as a Qube developer, you need strong programming skills (especially in Python or C++), a solid understanding of render pipeline concepts, and experience with Linux environments. Familiarity with Qube job submission, render farm management tools, and relevant scripting or automation systems is typically required. Excellent problem-solving, attention to detail, and teamwork skills help developers efficiently manage distributed rendering tasks and collaborate with artists and IT staff. These skills ensure seamless render farm operations, reduced downtime, and optimal resource utilization in visual effects or animation studios.

What is the difference between Qube vs Data Analyst?

AspectQubeData Analyst
Required CredentialsTypically requires certifications in data management or specific software toolsOften requires a bachelor's degree in data science, statistics, or related fields
Work EnvironmentData management, database administration, or cloud platformsData analysis, reporting, and visualization in various industries
Employer & Industry UsageUsed in tech, logistics, and data-driven companies for data handlingCommon across finance, marketing, healthcare, and tech sectors

While both Qube and Data Analyst roles involve working with data, Qube typically focuses on data management and storage solutions, whereas Data Analysts primarily analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Qube jobs?

Qube jobs refer to tasks or roles associated with Qube, which is a professional render farm management software used in the visual effects, animation, and design industries. Qube jobs typically involve managing, scheduling, and monitoring computer-generated rendering tasks across multiple workstations or servers. People working in Qube-related positions often set up render jobs, troubleshoot errors, and optimize workflows to ensure efficient use of compute resources. Roles may include render wranglers, render farm technicians, or pipeline engineers who interact with the Qube system.
More about Qube jobs
Infographic showing various Qube job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% Physical, 25% Hybrid, and 25% Remote job distribution, with an average salary of $130,681 per year, or $62.8 per hour.

$180K - $260K/yr

Other

Posted 14 days ago


Job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT:

We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.

  • Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
  • Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
  • Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates
  • Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
  • Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication

Your present skillset:

  • Degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data analysis and/or low-level systems and network engineering
  • Strong skills in Python and time-series analysis
  • Understanding of network protocols such as TCP/IP and Ethernet
  • Familiarity with market microstructure and low-latency trading is a plus
  • Advanced networking and GNU/Linux knowledge is a plus

Base salary range for this position is $180,000 to $260,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.