
Manager, Firmware Engineering
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Lead a team of around five firmware and machine learning engineers.
• Provide hands-on technical guidance in the design, implementation, and optimization of high-performance production systems.
• Establish architecture standards for latency, power consumption, memory usage, and model performance within edge machine learning and embedded systems.
• Mentor engineers and assist them in navigating complex technical challenges.
• Collaborate with Product, Hardware, and Full-stack teams to transition AI features from concept to device deployment.
• Enhance products and features utilized by customers.
• Shape quarterly technical and product roadmaps in partnership with leadership.
• Balance product aspirations with engineering sustainability and make trade-offs that impact customers.
• Foster a culture of ownership, accountability, continuous improvement, and professional growth.
• Expand Samsara's culture as the company grows on a global scale.
• Recruit and cultivate an inclusive, engaged, and high-performing engineering team.
• Over 3 years of hands-on, execution-focused technical management experience.
• More than 8 years of experience in the development of embedded systems and edge machine learning.
• Proven history of managing a team of engineers that successfully shipped a mass production product.
• Strong interpersonal skills with the ability to thrive in a diverse, fast-paced, customer-centric environment.
• Experience in deploying computer vision and machine learning models on edge devices for real-world applications.
• Background in taking products from concept to mass production.
• Proficient in programming languages such as C/C++, Rust, or similar.
• Familiar with frameworks like GStreamer, Google MediaPipe, or comparable edge AI/media solutions.
• Knowledge of data analysis using tools such as Databricks, SQL queries, or Tableau.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Initial RSU grant with no vesting cliff.
• Continuous equity refresh opportunities linked to performance.
• Performance-based bonuses or variable pay.
• Flexible, employee-led remote work model.
• Professional development stipend.
• Comprehensive health insurance plans.
• Parental leave options.
• Flexible working arrangements.
• Commitment to equal opportunity employment.
• Reasonable accommodations provided throughout the recruitment process.
Samsara
Samsara
Morgan Stanley
Inabia Solutions and Consulting, Inc.
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