Senior Software Engineer - STCE New Products

Samsara

San Francisco, CA

Full Time

Senior

about 1 month ago

Job Description

About the Role

As a key member of our Software Engineering team, you'll build the next generation of high-impact, high-volume products that digitize the world of physical operations. You'll help transform industries like transportation, logistics, construction, and manufacturing by powering solutions that connect IoT devices, sensor data, and real-time workflows. This is a fast-paced, feedback-driven environment where you'll work closely with Product Management, Design, and GTM teams to define and execute impactful solutions. The role offers remote work with up to 10% travel for customer visits and field engagement. You will be part of a team that has shipped Samsara's Asset Tag and is aiming to create the next big product that impacts real-world operations.

Key Responsibilities

Architect and build high impact '0 to 1' software products for our customers.
Tackle complex, high-impact problems across the stack working across system boundaries from firmware to front-end to deliver end-to-end customer value.
Partner with product leadership to define and prioritize features that deliver tangible impact, rooted in customer problems.
Experiment and iterate rapidly, guided by feedback from GTM teams and customer engagements.
Learn about the world of physical operations and get hands-on experience.
Champion, role model, and embed Samsara's cultural principles such as Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

Requirements

8+ years of experience building software with a proven track record shipping products (both 0-1 and at scale).
Bachelor's degree in Computer Science, Computer Engineering, or related fields.
Entrepreneurial/ownership mindset.
Demonstrated nuance and judgement building for speed and scale.

Nice to Have

Proven track record of algorithm development.
Experience working with AI/ML teams.
Experience working with geolocation data, spatial algorithms, or real-world physical sensor inputs.
Experience with scalable, low-latency data pipelines that process millions of daily events.

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