A
Lead Quality Assurance Engineer
Accepting applicationsAvride · Austin, Texas Metropolitan Area
Full-Time Mid_senior C++aiasicaterf
Posted
15 May
Category
Test
Experience
Mid_senior
Country
United States
About the Team
Avride is a fast-growing leader in the autonomous vehicle and delivery robot industry. We are building the future of mobility from the ground up, backed by a core team with over seven years of pioneering experience in autonomous technology
.Our Control team is the driving force behind our vehicle's precision. We design robust systems that navigate trajectories with centimeter-level accuracy—smoother and more reliably than a human driver—across a vast range of real-world conditions
.About the Rol
e
We are seeking a highly skilled software engineer to advance Avride's core Control System. In this role, you will architect sophisticated control systems using Model Predictive Control (MPC) and identify the dynamic parameters of our vehicle
s.What You'll
Do
Design, implement, and optimize cutting-edge control systems in modern C++ (C++17/2
0).Develop and refine robust, high-precision solutions for trajectory tracki
ng.Analyze and iterate on system performance using real-world vehicle da
ta.Collaborate closely with engineers from our Planning and Hardware teams to build a cohesive and reliable self-driving syst
em.Write clean, maintainable, and optimized production-quality co
de.Profile and optimize algorithms to meet real-time performance constrain
ts.
What You'll
Need
3+ years of professional software engineering experi
ence.Expertise in modern
C++.Deep understanding of algorithms, data structures, and software design patt
erns.Hands on experience on data analysis and basic statistical met
hods.Exceptional communication and collaboration skills, with a focus on delivering results and driving projects to comple
tion.
Nice t
o Have
Direct experience in robotics, with a strong grasp of Optimization, MPC, and system dy
namics.Digital signal processing techniques to analyse real-word senso
r data.Advanced knowledge of mathematics (optimization, probability, mechanics) and a proven ability to translate complex theories into production-ready algo
rithms.Relevant publications or achievements in hackathons and programming co
ntests.A passion for staying at the forefront of the field, actively seeking and implementing state-of-the-art ideas to push our performance beyond the current h
orizon.
Show more Show less
Avride is a fast-growing leader in the autonomous vehicle and delivery robot industry. We are building the future of mobility from the ground up, backed by a core team with over seven years of pioneering experience in autonomous technology
.Our Control team is the driving force behind our vehicle's precision. We design robust systems that navigate trajectories with centimeter-level accuracy—smoother and more reliably than a human driver—across a vast range of real-world conditions
.About the Rol
e
We are seeking a highly skilled software engineer to advance Avride's core Control System. In this role, you will architect sophisticated control systems using Model Predictive Control (MPC) and identify the dynamic parameters of our vehicle
s.What You'll
Do
Design, implement, and optimize cutting-edge control systems in modern C++ (C++17/2
0).Develop and refine robust, high-precision solutions for trajectory tracki
ng.Analyze and iterate on system performance using real-world vehicle da
ta.Collaborate closely with engineers from our Planning and Hardware teams to build a cohesive and reliable self-driving syst
em.Write clean, maintainable, and optimized production-quality co
de.Profile and optimize algorithms to meet real-time performance constrain
ts.
What You'll
Need
3+ years of professional software engineering experi
ence.Expertise in modern
C++.Deep understanding of algorithms, data structures, and software design patt
erns.Hands on experience on data analysis and basic statistical met
hods.Exceptional communication and collaboration skills, with a focus on delivering results and driving projects to comple
tion.
Nice t
o Have
Direct experience in robotics, with a strong grasp of Optimization, MPC, and system dy
namics.Digital signal processing techniques to analyse real-word senso
r data.Advanced knowledge of mathematics (optimization, probability, mechanics) and a proven ability to translate complex theories into production-ready algo
rithms.Relevant publications or achievements in hackathons and programming co
ntests.A passion for staying at the forefront of the field, actively seeking and implementing state-of-the-art ideas to push our performance beyond the current h
orizon.
Show more Show less
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