Remote Automotive Systems Optimizer

Placements24; Queenstown; Hybrid; NZD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Professional development

Innovation focus

Job summary

Placements24 is seeking a highly analytical and experienced Remote Automotive Systems Analyst to join our engineering division. The role focuses on evaluating and optimizing complex automotive systems from a fully remote location, collaborating with software, hardware, and mechanical engineers to enhance performance and integration.

The ideal candidate holds an advanced degree in a related field and has proven systems-analytic experience in the automotive sector, with strong communication skills

Qualifications

• Master's or PhD in Automotive Engineering, Mechanical Engineering, or a related field.
• Proven experience as a Systems Analyst within the automotive industry.
• Strong analytical and problem-solving skills.
• Proficiency with systems engineering tools and methodologies.
• Excellent communication and collaboration skills, especially in a remote setting.

Responsibilities

• Analyze the performance and efficiency of complex automotive systems.
• Develop models and simulations to predict system behavior and identify potential issues.
• Provide technical recommendations for system design, integration, and optimization.
• Document system requirements, designs, and analysis findings.
• Collaborate with engineering teams to ensure successful implementation of system improvements.

Skills

Analytical thinking

Problem solving

Remote collaboration

Communication

Education

Master's degree in Automotive Engineering

PhD in Mechanical Engineering

Tools

Systems engineering tools

Job description

Placements24 is seeking a highly analytical and experienced Remote Automotive Systems Analyst to join our engineering division. The role focuses on evaluating and optimizing complex automotive systems from a fully remote location, collaborating with software, hardware, and mechanical engineers to enhance performance and integration.

The ideal candidate holds an advanced degree in a related field and has proven systems-analytic experience in the automotive sector, with strong communication skills