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HomeCompaniesAvrideSenior Software Developer - Motion Planning

Senior Software Developer - Motion Planning

Avride · Austin, TX · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyAvride
TitleSenior Software Developer - Motion Planning
Normalized title-
Department / teamMotion Planning - Car
LocationAustin, TX, United States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-10 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Avride.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Motion Planning - Car.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAvride
Source9d184015-e89e-40a9-a3f8-45c7de0957d0
ATS providerGreenhouse

Description

About the Team AVRIDE is an autonomous driving company with the mission to make transportation safer and more efficient through cutting-edge technology. We hold a unique position in the market, developing self-driving taxis and delivery robots. Our delivery robot division already has production in the US and Japan. Our team consists of highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and making a significant impact on the company's results and the autonomous industry as a whole. About the Role As a Senior Software Developer at Avride, you’ll lead the development of trajectory planning algorithms for autonomous vehicles, ensuring smooth system integration and real-world performance. You'll work across teams, drive technical decisions, and help build safe, intelligent driving behavior. What You'll Do Design, develop and verify detailed algorithms related to autonomous vehicle trajectory geometry and all related components. Analyze autonomous rover behavior to detect inconsistencies and implement solutions, ensuring seamless operation across various system components. Overseeing the contributions to the geometry planning component of subordinate software engineers. Collaborate with other teams, responsible for various system modules related to trajectory geometry, ensuring their synchronized and cohesive operation. Ensure that data flow and commands are appropriately coordinated between these components for smooth and efficient operation of the autonomous vehicle. Devise and implement metrics for autonomous vehicle evaluation. Devise and implement feedback mechanisms about autonomous vehicle behavior. Simulating a variety of driving scenarios, ensuring the metrics remain comprehensive and cover an expansive range of potential situations. Quality Assurance Team feedback analysis. Ability to isolate issues within intricate, multi-component systems and conduct thorough root cause analysis. Proficient code review. What You'll Need Educational Requirement: A bachelor's degree in computer science, engineering or mathematics, or their equivalents. At least 12 years of experience as a software engineer. At least 5 years of experience with Linux and Docker. At least 3 years of relevant work experience in IT. Proven ability to implements leading AI related solutions. Strong knowledge of such programming languages as C++, Python. Proven understanding of basic ML models and its applications; Ability to implement and validate basic ML models. Should possess the confidence to guide teams and management towards making decisions; prepared to assertively seek information and responses. Proven ability to work with Kubernetes and AWS. Solid understanding of the software development lifecycle. Proven ability to work with members of cross-functional teams. Strong knowledge of wide range of algorithms to build performance efficient systems, proficiency with writing complex algorithmic logic. Excellent communication and interpersonal skills. Good critical thinking and problem-solving skills. Knowledge of traffic laws and driving norms to ensure the vehicle adheres to legal and safety standards. Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email [email protected] .

Full job record

Job ID3f5bfaadd55db4492af273cdf3915ed75b8b6327
Org ID64748ab3-53cd-4732-a953-ad4b79d3e174
Source ID9d184015-e89e-40a9-a3f8-45c7de0957d0
Board ID9d184015-e89e-40a9-a3f8-45c7de0957d0
Providergreenhouse
Provider Job Key4179425009
TitleSenior Software Developer - Motion Planning
Normalized Title
Statusactive
Activeyes
Location TextAustin, TX
DepartmentMotion Planning - Car
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/avride/jobs/4179425009
Apply URLhttps://job-boards.greenhouse.io/avride/jobs/4179425009
First Seen At2026-05-29 22:42:04Z
Last Seen At2026-06-06 07:34:02Z
Last Checked At2026-06-06 07:34:02Z
Last Changed At2026-06-03 11:24:08Z
Inactive At
Source Posted At2026-03-10 18:15:07Z
Source Updated At2026-06-02 14:06:04Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=avride/date=2026-06-06/2026-06-06T07-34-02-471Z-90969c4b16fee47af931cf206a035568452956958c1337c464e48701132954be.json
Event Fields
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}
Parsed Structured
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Extensions
{}
Native Structured
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