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Lead Engineer – Device Level Analytics

General Motors · Bengaluru, Karnataka, India

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Expect system-design and data-pipeline discussions, leadership scenarios for a lead IC, and problem-solving on noisy device metrics. Prepare stories on reliability, stakeholder alignment, and shipping analytics under production constraints.

Fit summary

Strong fit if you lead engineers, ship analytics near devices or fleets, and want OEM-scale automotive data work in Bengaluru’s tech market. Less ideal if you prefer pure research without production ownership.

Day in the role

As Lead Engineer for Device Level Analytics at GM in Bengaluru, you would typically own analytics pipelines and models close to vehicle or embedded devices—shaping requirements with product and platform teams, reviewing designs and metrics with peers, unblocking junior engineers, and shipping reliable insights that feed vehicle or fleet decisions. Days mix deep technical work with cross-team alignment on data quality, latency, and production readiness.

Skills to emphasize

Strengthen embedded or edge analytics, telemetry and time-series pipelines, statistical modeling, Python/SQL, and production ML/ops practices. Domain familiarity with automotive or IoT device data is a plus; no specific cert list was provided for this role family.

FAQ from this listing

Is this role remote?

The listing is for Bengaluru, Karnataka, India and is not marked remote.

What does GM make?

GM manufactures Chevrolet, Buick, GMC, and Cadillac vehicles and is a major U.S. automaker (ticker GM).

Any required certifications listed?

No certification family or resources were provided for this occupation.

Company facts (cached)

Website: gm.com

General Motors Company (GM) is an American multinational automotive manufacturing company headquartered in Detroit, Michigan, United States. The company is most known for owning and manufacturing four automobile brands: Chevrolet, Buick, GMC, and Cadillac, each a separate division of GM. By total sales, it has continuously been the largest automaker in the United States, and was the largest in the world for 77 years before losing the title to Toyota in 2008.

Public cache only — not an employee review.

Role overview (listing rewrite)

Generalmotors is seeking a Lead Engineer – Device Level Analytics to join our Bengaluru, Karnataka, India office in a full-time position. In this leadership role, you will architect and optimise analytics platforms that power device-level data insights, leading a team of engineers whilst driving technical excellence across our analytics infrastructure. Position Summary As Lead Engineer – Device Level Analytics at Generalmotors, you will take ownership of designing, building, and maintaining sophisticated analytics systems that process and analyse data at the device level. This is a hands-on technical leadership role where you'll combine deep engineering expertise with the ability to guide and mentor a growing team. You'll work at scale to solve complex data challenges, influence architecture decisions, and shape the future of our analytics capabilities. What You'll Do Design and implement scalable device-level analytics architectures that handle massive data volumes reliably Lead the technical strategy for data pipeline development, ensuring performance, quality, and maintainability Mentor and develop engineering team members, fostering a culture of technical excellence and innovation Collaborate with product, engineering, and data science teams to translate business requirements into robust technical solutions Optimise data ingestion, transformation, and storage systems for accuracy and efficiency Establish best practices for code quality, testing, and operational reliability Skills & Qualifications Proven experience as a lead engineer or senior engineer with hands-on technical expertise in analytics, data platforms, or distributed systems Strong proficiency in one or more programming languages such as Java, Python, Scala, or Go Deep understanding of data engineering principles, stream processing, batch processing, and analytics databases Demonstrated leadership experience mentoring technical teams or managing complex engineering projects Knowledge of distributed systems, data architecture patterns, and scalability challenges Experience with analytics tooling, warehousing solutions, or real-time data platforms Strong problem-solving skills and a customer-focused mindset About Generalmotors Generalmotors is a global leader in automotive innovation and manufacturing. We are committed to advancing technology, sustainability, and mobility solutions that improve lives worldwide. Our Bengaluru technology centre is a hub of innovation, bringing together talented engineers to solve complex challenges in vehicle analytics, connectivity, and data-driven insights. Next Steps To apply, complete your…

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Generated for personal interview prep · 2026-07-18 UTC · getajob.ai