Senior engineer designs and implements core framework and runtimes for self-driving software stack, optimizing GPU/CPU execution graphs for latency/reliability, building observability tools, and owning subsystems. Requires 5+ years C++, multithreading, Linux, and complex systems experience.
Salary not listed
On-site5+ YOEDevOps / SRE
About the role
What You'll Do
Implementation and design of Avride’s core framework - both developer APIs and runtimes - building and optimizing execution graph consisting of GPU and CPU computations, scheduling execution to guarantee latency and reliability
Building internal instrumentation and tools to keep the system observable
Participate in system performance evaluations and help with full-system debugging
Take long-term ownership of subsystems owned by the team, tracking their requirements and improving them over time
Design and automate testing of the team’s components to make validation and issue-detection loops shorter
Advocate for simplicity and long-term maintainability. Write well-structured code, produce clear design documents, and help the team resist unnecessary complexity
What You'll Need
5+ years of experience with C++
3+ years of programming experience in multi-threaded environments - multiple processes, threads, timers, and interrupts
Experience with Linux and understanding of OS fundamentals
Experience in diagnosing and resolving performance issues
Proven experience of designing and shipping complex systems including scoping the problem, evaluating trade-offs, and verifying outcomes after delivery
Strong cross-team collaboration skills - being ready to communicate with multiple teams to validate your ideas and manage testing and rollout out of your solutions
Nice to Have
Python experience for scripting and non-time-critical tooling
Background in autonomous vehicles, robotics, or other safety- or performance- critical systems
Experience implementing middleware systems - execution scheduling, inter-process/inter-host transport layer, issue detection
Experience working with large and complex systems and codebases
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