Research Lead – Job Order 3095
Redwood City, CA or nearby; remote for exceptional candidate
US citizen or permanent resident
Compensation DOE, equity
My client is reimagining sensing for driverless vehicles. Their team of world-class product
designers from Apple, Google, Intel, and Amazon has reframed sensing as a software problem – as
opposed to a hardware problem, as it has been treated for over twenty years – and created a
universal platform that allows for an exceptionally powerful and scalable full-stack solution.
The company replaces the hardware-centric, fragmented, and unintelligent
sensor stacks in vogue since the early 2000s with an elegant, compact, and inexpensive digital
platform. A sensing operating system and software-defined concurrent sensors driven by machine
learning at the edge abstract the sensing hardware and make it ‘invisible’ to autonomy developers.
They enable AV developers to focus on software and data, and leapfrog to scalable
driverless autonomy today.
We are looking for a software engineer to lead the development of our concurrent sensing
algorithms, software-defined sensing architecture, and ML-at-the-edge architecture.
• Sensor Fusion
• Machine Learning and Deep Learning
• Digital Signal Processing
• Statistical Signal Processing
• Estimation Theory
• Information Theory
• PhD in CS/EE/Robotics/Physics
• 5+ years of industry experience
• Product delivery record
• Startup experience (plus)
To apply for this job email your details to firstname.lastname@example.org