Senior Software Engineer II

Samsara
Summary
Join Samsara's Smart Trailer and Connected Equipment team as a full-stack engineer and contribute to the development of end-to-end solutions for tracking equipment utilization, monitoring loads and temperature, and providing comprehensive asset tracking. This remote role, open to US candidates (excluding specific metro areas), offers the opportunity to impact global industries by building scalable, customer-focused software, firmware, and hardware. You will collaborate with a team, mentor other engineers, and champion Samsara's cultural principles. The position requires a Bachelor's degree in Computer Science/Engineering or equivalent experience, 8+ years of software development experience, and proficiency in at least one specified programming language. Samsara offers a competitive compensation package including base salary, bonus, RSUs, and benefits.
Requirements
- Bachelor's Degree in Computer Science/Engineering or equivalent practical experience
- 8+ years of relevant industry experience in software development
- Strong programming/coding fundamentals with proficiency in at least one of the following: Go, GraphQL, TypeScript, React
- Excellent communication, collaboration, and problem-solving skills, with a demonstrated ability to manage technical discussions
Responsibilities
- Bring a customer-focused mindset to all development, balancing the need to iterate quickly and deliver customer wins iteratively
- Partner with the Engineering Manager to advocate for long-term technical health of our products alongside the product priorities
- Act as a force multiplier on the team by leveraging other engineers and personally exemplify how to deliver value at Samsara
- Mentor other engineers by actively participating in design and implementation conversations across the team
- Champion, role model, and embed Samsaraβs cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Preferred Qualifications
- Built and shipped a 0-1 product and understands how to scale for growth and business impact post that phase
- Experience working with ML engineers and applied scientists to deploy machine learning models to production
- Understanding of how to build for stability and growth while being responsive to customer feedback
- Prior experience working with geolocation data
Benefits
- Competitive total compensation package
- Employee-led remote and flexible working
- Health benefits
- Samsara for Good charity fund