AV Safety Engineering Analytics Engineer (GPSSC)

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Job Overview

The position offered is for an AV Safety Engineering Analytics Engineer at General Motors (GM). This role primarily centers around the intersection of automotive engineering, data science, and cloud processing to support safety analytics for autonomous vehicles. Candidates should note that while the role is primarily remote, individuals living within a 50-mile radius of select cities including Atlanta, Austin, Detroit, Warren, Milford, or Mountain View are expected to report to their designated GM location at least three times a week.

Responsibilities

The responsibilities associated with this role are both diverse and critical to ensuring safety within the autonomous vehicle sector. The employee will join the AV Safety Engineering Analytics team, which is committed to developing a comprehensive safety case for GM's automated driving technologies. Several of the core duties are as follows:

• Developing data analytics infrastructure that supports safety assurance analytics addressing internal and external stakeholder needs across various phases of automated vehicle development and deployment. This includes handling both real-world and simulation data.

• Creating interactive visualizations that enhance transparency and ease of access to data interrogation for stakeholders.

• Piloting and defining metrics for monitoring development operations and deployment, establishing criteria that determine readiness for launch.

• Identifying relevant data streams to support safety monitoring and ensure a reliable supply chain of continuously flowing data from both internal and external resources.

• Developing cloud-based analytics pipelines that ensure continuous uptime, managing data from raw form to comprehensive analytical outputs.

• Optimizing data processing for efficiency and preparing data for analyses or storage appropriately.

Required Skills and Qualifications

Candidates for this position must possess a sound foundation in both educational background and practical experiences:

Educational Qualifications

• A Bachelor’s degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a similar field is required. Candidates with equivalent practical experience will also be considered.

Practical Experience

• A minimum of 5 years experience in large-scale data analysis, particularly focusing on human and/or automated driving performance.

• At least 5 years of relevant experience in areas like ADAS, autonomous vehicles, or robotics.

Technical Skills

• Proficient in programming and frameworks including Python and SQL.
• Extensive experience with cloud-based systems managing large-scale processes such as notifications, queuing, and serverless cloud functions.
• Familiarity with statistics for ensuring data integrity during large mining activities.
• A solid understanding of DevOps processes and infrastructure as code, including tools like Docker, Kubernetes, GitHub, Jira, and others.
• Experience with data analysis and visualization tools like Tableau, PowerBI, and Python libraries such as Pandas and NumPy.

Personal Attributes

In addition to technical expertise, the roles call for strong communication and collaboration skills. A candidate should possess:

• Problem-solving mindset, demonstrating proactivity in learning and self-improvement.
• Ability to work effectively in a team environment while managing multiple stakeholders' needs.

Competitive Edge: Preferred Qualifications

While the core qualifications are outlined, candidates with the following experiences might find themselves at an advantage:

• Prior experience processing and analyzing sizeable vehicle motion and context-related data.
• Previous involvement in vehicle safety-related discussions, such as through conference participation or relevant publications.

Travel and Immigration Policy

The selected candidate should be aware that travel may be necessary up to 25% of the time for meetings or projects. GM also specifies that this is not an eligible position for immigration-related sponsorship. Therefore, applicants requiring such sponsorship in the future should refrain from applying.

Benefits Overview

General Motors emphasizes the wellness of its employees from day one, highlighting their commitment to fostering not just a productive workplace, but one that prioritizes employee well-being. Prospective employees can expect compensation and benefits designed to highlight both personal growth and professional fulfillment.

General Motors' Commitment

GM is deeply rooted in its vision for a safer world, aspiring for Zero Crashes, Zero Emissions, and Zero Congestion. They seek individuals who are not just competent in their fields but are also enthusiastic about contributing to meaningful change. There is a strong company culture focused on fostering an environment of inclusion and belonging, aiming for every employee to feel part of one General Motors team.

Conclusion

Overall, applying for the AV Safety Engineering Analytics Engineer position with General Motors presents an exciting opportunity for individuals looking to impact the future of autonomous vehicle technology and safety. With a combination of rigorous qualifications and the company’s commitment to employee growth and a solid work-life balance, candidates can look forward to a rewarding career ahead.

This job offer was originally published on himalayas.app