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Sr. Software Engineer II - Connected Equipment

Remote / Online - Candidates ideally in
Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: Samsara
Remote/Work from Home position
Listed on 2025-12-13
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 252500 USD Yearly USD 252500.00 YEAR
Job Description & How to Apply Below
Location: Myrtle Point

Employer Industry: Internet of Things (IoT) Solutions

Why consider this job opportunity
  • Salary up to $252,500
  • Competitive total compensation package including base salary, bonus/variable pay, and RSUs
  • Flexible working model accommodating both remote work and in-person office options
  • Opportunity to impact industries that drive global operations, enhancing safety, efficiency, and sustainability
  • Support for continuous learning and professional growth within a collaborative environment
  • Engaging work culture focused on customer success and teamwork
What to Expect (Job Responsibilities)
  • Architect and build high-impact “0 to 1” software products for customers
  • Solve complex problems across the technology stack from firmware to front-end
  • Collaborate with product leadership to prioritize features that address customer needs
  • Rapidly experiment and iterate based on feedback from sales and customers
  • Champion and embody the company’s cultural principles as the organization scales
What is Required (Qualifications)
  • 8+ years of experience in software development with a proven track record of shipping products
  • Bachelor’s degree in Computer Science, Computer Engineering, or related fields
  • Entrepreneurial mindset with ownership over projects
  • Demonstrated ability to build for speed and scale
  • Strong judgment and nuance in product development
How to Stand Out (Preferred Qualifications)
  • Experience building and shipping a “0 to 1” product
  • Familiarity with AI/ML technologies
  • Background in working with firmware and hardware teams
  • Knowledge of highly distributed and out-of-order data processing
  • Experience with scalable, low-latency data pipelines handling millions of events daily
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