Software Engineer, Fleet Analytics, Phd, Early Career, 2026 Bengaluru

About the Role

This Software Engineer position in Fleet Analytics at Google involves working on cutting-edge projects that leverage data analytics and machine learning to optimize fleet operations. You will be responsible for designing and developing scalable software solutions that drive business growth and improve customer experience.

As a fresher in this role, you will be part of a dynamic team that is passionate about innovation and problem-solving. You will have the opportunity to work on diverse projects, collaborate with experienced engineers, and learn from their expertise.

Key Responsibilities

• Design and develop software solutions using programming languages such as Java, Python, or C++.
• Collaborate with cross-functional teams to identify business requirements and develop software solutions that meet those needs.
• Develop and maintain high-quality software code, ensuring it is scalable, efficient, and reliable.
• Work with data scientists and analysts to integrate data analytics and machine learning into software solutions.
• Participate in code reviews, testing, and debugging to ensure high-quality software delivery.
• Stay up-to-date with industry trends and emerging technologies, and apply that knowledge to improve software solutions.

Skills & Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Strong programming skills in languages such as Java, Python, or C++.
• Experience with data analytics and machine learning, including statistical techniques and mathematical optimization.
• Knowledge of cloud design principles and virtualization technologies.
• Familiarity with operation research and mathematical techniques.
• Strong problem-solving skills, attention to detail, and ability to work in a team environment.

What You'll Learn

In this role, you will gain hands-on experience in software development, data analytics, and machine learning. You will learn to design and develop scalable software solutions, work with cross-functional teams, and stay up-to-date with industry trends.

You will have the opportunity to work on diverse projects, collaborate with experienced engineers, and learn from their expertise. This role will help you develop a strong foundation in software engineering, data analytics, and machine learning, preparing you for a successful career in the tech industry.

Resume Tip

When applying for this role, make sure to highlight your experience with programming languages, data analytics, and machine learning. Emphasize your problem-solving skills, attention to detail, and ability to work in a team environment. Use specific examples from your academic projects or internships to demonstrate your skills and experience.

Also, be sure to tailor your resume to the specific requirements of the job description. Use keywords from the job description in your resume, especially in your summary, skills section, and work experience. This will help your resume pass through applicant tracking systems (ATS) and catch the eye of the hiring manager.