Embedded Systems Engineer

About Us 

BlueSpace.ai is building the next generation of self-driving technology to create safety certainty needed for truly driverless vehicles. Our patented 4D Predictive Perception enables this by calculating all objects’ motion from next-gen 4D sensors. BlueSpace.ai’s team brings experience from all over the autonomous vehicles (AV) industry, including OEMs, world class research institutions, and autonomous driving companies. 

 Day - to - Day

• Drive the requirements definition, analysis, development and documentation of feature technical specifications

• Conduct feature scoping assessments, define use cases and performance measurements

• Define system interfaces between key components

• Translate system requirements and implementation architecture into testable product requirements and design specifications

• Manage traceability between security strategy and security requirements

• Analyze validation test evidence to challenge assumptions and harden requirement rationales

• Lead technical discussions, build and manage relationships with cross-functional teams and relevant internal and external stakeholders

Qualifications

• 5+ years of combined experience as an embedded systems engineer, embedded software engineer, or similar roles.

• Deep understanding of Linux operating system internals with experience building kernels, compiling drivers, providing performance tuning guidance and crash analysis.

• Proven knowledge of Linux kernel internals (process scheduler, memory management, concurrency/synchronization, memory allocation, file systems), networking, and storage subsystems architecture.

• Skilled with C/C++.

• Familiarity with modern configuration management tools like Docker.

• Familiarity with modern CI/CD tools like Jenkins, gitlab runners, Phabricator etc.

• Familiarity with AWS. 

• Awareness of industry best operations practices regarding OS deployment, system monitoring, troubleshooting, and debugging.

• Strong team player, comfortable working in a vibrant, diverse and interdisciplinary team.

Nice to Have

• Located in the Bay Area