Job Description
Join to apply for the Data Engineer(Optimization Algorithms) role at Brix
Join to apply for the Data Engineer(Optimization Algorithms) role at Brix
Pentatonic
Data Engineer(Optimization Algorithms)
(UTC-08:00) Pacific Time (US & Canada)
Full-time Employment
80k - 150k USD/year
11 months ago
Pentatonic
Data Engineer(Optimization Algorithms)
(UTC-08:00) Pacific Time (US & Canada)
Full-time Employment
80k - 150k USD/year
11 months ago
Overview
About the job
Seeking a Data Engineer with experience in optimization algorithms and modules similar to Nvidia's CuOpt. In this role, you will be responsible for designing and implementing data-driven solutions that optimize complex systems and processes within our simulation environments.
Team Culture
Hey! At our startup, we're all about disrupting the norm and creating memorable customer experiences. We prioritize being customer-centric and embracing diversity and inclusion. My leadership style is centered around fostering creativity and daring to challenge traditional approaches. If you're inspired by disrupting industries, building outstanding customer journeys, and contributing to an inclusive team, reporting directly to me could be a thrilling adventure.
About The Company
Pentatonic
CA
1-50employees
Seed Round
Data services
Description
- Design, develop, and maintain data pipelines that incorporate optimization algorithms for real-time decision-making.
- Implement and customize optimization modules similar to Nvidia CuOpt to enhance the performance of simulation tools.
- Collaborate with data scientists and engineers to integrate optimization algorithms into simulation workflows.
- Analyze system performance and provide recommendations for improving efficiency and accuracy.
- Work with cloud platforms (AWS, Azure) to deploy and manage optimization solutions at scale.
Requirements
- Education background: Bachelor’s degree in Computer Science, Data Engineering, Operations Research, or a related field.
- Experience: 2+ years of experience in data engineering with a focus on optimization algorithms.
- Technical skills: Proficiency in Python, SQL, and familiarity with tools like Databricks and Apache Spark; Experience with optimization frameworks or modules such as CuOpt, Gurobi, or CPLEX; Experience with cloud platforms and scalable data solutions is a plus.
- Soft skills: Strong analytical and problem-solving skills, with a focus on optimizing complex systems
Interview process
AI interview
Code assessment
Technical assessment
On-site interview
Offer negotiation
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
Software Development
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