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Join a dynamic technology innovation lab that combines the agility of a startup with the stability of a leading logistics giant. As a Staff Software Engineer, you'll lead the design and implementation of foundational data systems, ensuring scalability and efficiency. You'll tackle complex data challenges, mentor engineering teams, and work closely with the Machine Learning team to unlock the full value of data assets. This role offers a unique opportunity to make a significant impact in an industry ripe for innovation, all while enjoying a hybrid work model and competitive compensation.
Baton is seeking ambitious individuals who desire the autonomy and agility of a startup environment combined with the backing, power, reach, and stability of a highly respected logistics industry giant.
Baton is the Silicon Valley-based technology innovation lab for Ryder, a leading logistics company that owns 260k trucks and manages $7.4B of freight.
Prior to the September 2022 acquisition, Baton was a venture-backed start-up that operated a fleet of trucks and hung out at truck stops to truly understand the challenges at hand.
Our mission is to enable supply chain on autopilot.
There are 500 million hours wasted in trucking each year, over 3 billion gallons of fuel wasted per year from trucks idling, and 1 in 5 trucks on the road driving empty at any given point.
This has a massive impact on the environment, the lives of millions of drivers, and ultimately, the cost of goods that we all pay.Baton is fixing this, and you will too through the impactful work you’ll do here.
Role: Staff Software Engineer - Infrastructure
Pod/Teams: Data Platform & Machine Learning Platform
Location:Hayes Valley, San Francisco, CA
Job Type: Full Time
Work Model: Hybrid
Remote Days: Monday & Friday
Office Days: Tuesday, Wednesday, Thursday
As a Staff Software Engineer, Infrastructure on our Data Platform & ML Platform Team - you will lead the design, implementation, and continuous improvement of our foundational data systems, ensuring scalability, reliability, and efficiency. You'll architect data platforms, manage streaming pipelines, optimize cloud infrastructure, and champion best practices in infrastructure-as-code, observability, and system performance. Leveraging your expertise in distributed systems and real-time data processing, you'll mentor engineering teams, shape strategic technical direction, and empower the organization to unlock the full value of its data assets. A key area of future growth will be working closely with the ML team to deliver timely and efficient access to data to help them achieve company goals.
Compensation Range: The annual base salary range for this position is $260,000 - $350,000*
Compensation will vary based on factors including skill level, transferable knowledge, and experience.
Note that the above is not the representation of total compensation, which includes our LTI Package as well.
In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses.
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