FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in optimizing distributed data pipelines and model workflows, with strong proficiency in Python, SQL, and Spark. Capable of collaborating across teams to enhance data processing efficiency and reduce computational costs.
Highest-signal resume keywords
Python ProgrammingSQL ExperienceSpark ProficiencyDistributed Pipeline OptimizationPyTorch Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSoftware EngineeringMemory OptimizationParallel ExecutionModel ManipulationData ValidationQuality AssessmentImage ProcessingVideo ProcessingGeometric Information Handling
Soft Skills
OwnershipIndependent Problem-SolvingCross-Team Collaboration
Tools & Technologies
LinuxPyArrowGPU Computation
Industry Keywords
Data PipelinesModel DeploymentMobileye IntegrationCompute-Intensive SystemsData Contracts
Tech Stack
Tools & technologiesLinuxPythonPyTorchSparkSQL
About the role
Key responsibilities & impact- Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
- Build tools for data exploration, manipulation, validation, and quality assessment.
- Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
- Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across Mobileye.
- Build pipelines and tools that process images, video, geometric information, and evaluate model outputs.
- Eliminate resource-intensive bottlenecks and reduce computation costs and iteration time.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university.
- 4+ years of hands-on software or data-engineering experience.
- Excellent Python and Linux skills with strong software-engineering foundations.
- Experience with SQL, Spark, and PyArrow.
- Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution.
- Familiarity with PyTorch and ML workflows, including datasets, training, checkpoints, evaluation, and GPU computation.
- Strong ownership, independent problem-solving, and cross-team collaboration skills.