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Quant Developer Virtual Jobs in California (NOW HIRING)

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

... developer experience in the "virtual driver's test" and the real world monitoring development ... You have: * 3+ years of full-time software engineering experience, or a quantitative PhD with ...

Oversee and contribute to ongoing operations and administration of the "virtual driver's test" to ... You Have: * 7+ years of full-time software engineering experience, or a quantitative PhD with 2+ ...

Oversee and contribute to ongoing operations and administration of the "virtual driver's test" to ... You Have: * 7+ years of full-time software engineering experience, or a quantitative PhD with 2+ ...

Senior Software Engineer - Multiverse

Mountain View, CA · On-site

$143.40K - $189.10K/yr

Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design ... You have: * 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ ...

Oversee and contribute to ongoing operations and administration of the "virtual driver's test" to ... You have: * 7+ years of full-time software engineering experience, or a quantitative PhD with 2+ ...

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Quant Developer Virtual information

What are the key skills and qualifications needed to thrive as a Quant Developer Virtual, and why are they important?

To thrive as a Quant Developer Virtual, you need a strong background in mathematics, statistics, programming (especially Python, C++, or Java), and a relevant degree such as computer science, engineering, or quantitative finance. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is typically expected. Exceptional problem-solving, analytical thinking, and effective remote communication skills set top candidates apart. These skills are crucial for developing robust quantitative models and collaborating effectively in distributed financial teams.

What are some common challenges faced by Quant Developers working in a virtual or remote environment?

Quant Developers working virtually often face challenges in seamless collaboration, especially when discussing complex mathematical models or code structures. Effective communication is crucial, as much of the work involves frequent coordination with traders, data scientists, and other developers. To overcome these hurdles, many teams use collaborative tools, version control systems, and regular video meetings. It's also important for remote Quant Developers to proactively stay updated on project requirements and maintain clear documentation to ensure team alignment.

What are Quant Developer Virtual roles?

Quant Developer Virtual roles refer to remote or online positions where professionals design, develop, and maintain quantitative models and algorithms, typically for financial institutions or trading firms. These developers use programming languages like Python, C++, or Java to implement mathematical models for pricing, risk management, and trading strategies. Working virtually, they collaborate with teams through digital platforms and are often responsible for analyzing large datasets and optimizing code performance. This role requires both strong programming skills and a solid foundation in quantitative finance or mathematics.

What is the difference between Quant Developer Virtual vs Quant Analyst?

AspectQuant Developer VirtualQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentRemote, collaborative with developers and tradersOffice or remote, focused on data analysis and modeling
Industry UsageFinancial firms, hedge funds, banksAsset management, hedge funds, investment banks
Common Search/ComparisonYesYes

The main difference between a Quant Developer Virtual and a Quant Analyst lies in their focus and responsibilities. Quant Developers Virtual primarily build and implement trading algorithms and software, requiring strong programming skills. Quant Analysts focus on analyzing data, developing models, and providing insights for investment decisions. Both roles are essential in finance but differ in technical depth and daily tasks.

What are the most commonly searched types of Quant Developer jobs in California? The most popular types of Quant Developer jobs in California are:
What cities in California are hiring for Quant Developer Virtual jobs? Cities in California with the most Quant Developer Virtual job openings:
Software Engineer, Multiverse

Software Engineer, Multiverse

Waymo

San Francisco, CA • On-site

Other

Posted 5 days ago


Job description

The Multiverse team at Waymo is responsible for the end-to-end evaluation of our autonomous driving software. We don't just look at what happened; we look at what could have happened. Using a mix of real-world testing and counterfactual simulation, we stress-test the Waymo Driver's safety and reliability before it ever hits the road. Join us in the Driver Understanding and Evaluation (DUE) group to develop the rich metrics that define the future of autonomous mobility.

You will:

  • Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines and/or real world monitoring in order to evaluate the driving capability of the Waymo Driver, and at low latency in the real world.
  • Improve the signal quality provided by the "virtual driver's test" and measured in the real world. Measure and improve the quality of individual simulations as well as that of the overarching simulation workflows. Seek to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior. 
  • Apply ML models from partner teams, and optionally contribute to them yourself, to improve the efficiency of our "virtual driver's test": simulate the most interesting situations and report the most interesting simulation results.
  • Apply software engineering best practices in order to improve code health and developer experience in the "virtual driver's test" and the real world monitoring development ecosystems.
  • Partner with cross-functional teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals.

You have:

  • 3+ years of full-time software engineering experience, or a quantitative PhD with software engineering experience
    • C++ proficiency
    • Python familiarity 
    • SQL familiarity 
  • Strong verbal and written communication skills
  • Excited about autonomous driving, Sim+Eval, eager to learn

We prefer:

  • Industry or doctoral experience in a quantitative- or quality- focused engineering role in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system.
  • B.Sc. in Computer Science
  • Experience working with large FAANG scale distributed systems.