Staff Software Engineer - Autonomy Frameworks Job at Aurora Innovation (Mountain View)

Staff Software Engineer, Connectivity (C++)

We’re searching for a Staff Software Engineer to join Aurora’s Vehicle Connectiv...

Location

United States , Pittsburgh

Salary:

171000.00 - 273000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science or related field, or equivalent industry experience
Expert-level C++ programming skills and the ability to design high-performance, thread-safe, and memory-efficient systems in a Linux environment
Ability to work across multiple programming languages and paradigms
Experience working with networking protocols, such as TCP, UDP, gRPC, HTTP and network health monitoring frameworks
A passion for writing robust, intuitive, and pragmatic production code
Experience with Linux network configuration and troubleshooting
Ability to navigate and work effectively in large codebases
Strong verbal and written communication skills
Work autonomously, but still be a great team player with colleagues across time-zones

Job Responsibility

Define vehicle connectivity and communication architecture
Design and implement highly-reliable, low-latency vehicle communications framework handling diverse mobile network conditions
Address connectivity-specific concerns for vehicle runtime, e.g. networking, performance, and observability
Work with autonomy engineers to meet performance and efficiency requirements for data throughput
Provide engineering support for field testing and fleet operations
Mentor senior engineers, set coding standards, and drive the long-term roadmap for vehicle to cloud connectivity

What we offer

Annual bonus
Equity compensation
Benefits

Fulltime

Staff Software Engineer, Connectivity

Location

United States , Mountain View

Salary:

180000.00 - 303000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science or related field, or equivalent industry experience
Expert-level C++ programming skills and the ability to design high-performance, thread-safe, and memory-efficient systems in a Linux environment
Ability to work across multiple programming languages and paradigms
Experience working with networking protocols, such as TCP, UDP, gRPC, HTTP and network health monitoring frameworks
A passion for writing robust, intuitive, and pragmatic production code
Experience with Linux network configuration and troubleshooting
Ability to navigate and work effectively in large codebases
Strong verbal and written communication skills
Work autonomously, but still be a great team player with colleagues across time-zones

Job Responsibility

Define vehicle connectivity and communication architecture
Design and implement highly-reliable, low-latency vehicle communications framework handling diverse mobile network conditions
Address connectivity-specific concerns for vehicle runtime, e.g. networking, performance, and observability
Work with autonomy engineers to meet performance and efficiency requirements for data throughput
Provide engineering support for field testing and fleet operations
Mentor senior engineers, set coding standards, and drive the long-term roadmap for vehicle to cloud connectivity

What we offer

Annual bonus
Equity compensation
Benefits

Fulltime

Staff Software Engineer – Secondary Driving System

At General Motors, our Embodied AI teams are redefining what’s possible in drive...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
or equivalent practical experience
8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other complex real‑time/control systems, including significant experience in perception and/or prediction
Strong proficiency in modern C++ (e.g., C++14/17 or later) in large, multi‑contributor codebases
experience using Python for tooling, data analysis, and ML experimentation
Demonstrated experience leading technical design and delivery of perception, tracking, or prediction systems in real‑time environments, including: Multi‑sensor fusion across camera, radar, and/or lidar (e.g., object‑level fusion, occupancy/freespace fusion, early/late fusion architectures)
Classical computer vision and geometric algorithms (feature extraction, multi‑view geometry, stereo, SfM, SLAM/visual odometry)
Multi‑object tracking (Kalman/extended/unscented filters, track‑to‑track fusion, track lifecycle management)
Motion prediction for road users (analytical kinematic models, maneuver‑based prediction, or learned trajectory forecasting models)
Proven track record of delivering reliable, high‑quality robotics or autonomous driving software to production, including: Testing strategies (simulation, HIL, scenario‑based testing, regression suites)

Job Responsibility

Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases
Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions
Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale
Collaborate closely with experts in perception, tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products
Define technical vision & architecture
Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets
Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace/occupancy, and environmental context
Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management)
Lead high‑impact projects
Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer, Logging

Location

United States , Mountain View

Salary:

189000.00 - 303000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science or related field, or equivalent industry experience
Expert-level C++ programming skills and the ability to design high-performance, thread-safe, and memory-efficient systems in a Linux environment
Proven experience working with storage technologies, block devices, and making informed file system choices based on write endurance, throughput, and crash-consistency constraints
Ability to work across multiple programming languages and paradigms
A passion for writing robust, intuitive, and pragmatic production code
Ability to navigate and work effectively in large codebases
Strong verbal and written communication skills
Ability to work autonomously and collaborate effectively with colleagues across time zones

Job Responsibility

Design and implement high-throughput, low-latency logging frameworks capable of handling massively parallel data streams
Define smart, dynamic data collection policies (e.g., triggering high-fidelity snapshots during performance events while intelligently downsampling routine driving data)
Evaluate, select, and tune file systems to maximize write speeds and guarantee data integrity
Collaborate with systems and hardware teams to select storage media (NVMe, SSDs) and optimize kernel-level I/O performance
Work with autonomy engineers to meet performance and efficiency requirements for data collection and offload
Provide engineering support for field testing and fleet operations
Mentor senior engineers, set coding standards, and drive the long-term roadmap for on-vehicle data lifecycle management

What we offer

Annual bonus
Equity compensation

Fulltime

Staff Software Engineer, Simulation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

160200.00 - 246300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

7+ years of applied experience developing complex evaluation, simulation, or test frameworks
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions
Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders
Bachelor's or higher degree in Computer Science, Engineering, or equivalent experience

Job Responsibility

Architect large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation
Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned test operations and evaluation products into regular development workflows and release decision processes
Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation test and evaluation products at scale
Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals
Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions
synthesize and present results and tradeoffs to stakeholders
make insights readily available to partner teams through interactive dashboards
Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team

What we offer

Medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Autonomy Engineer

Archer is an aerospace company based in San Jose, California building an all-ele...

Location

United States , San Jose

Salary:

170000.00 - 215000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

9+ years of professional experience in aerospace autonomy, robotics systems, or GNC software development
BS in Aerospace, Electrical, or Computer Engineering
Expert proficiency in C++ for real-time embedded software
Experience with robotics frameworks (such as ROS)
Familiarity with integrating software onto autopilots like Pixhawk
Proven track record in robotic teaming, trajectory generation, and mission planning for Unmanned Aerial Systems (sUAS) or planetary exploration vehicles
Advanced knowledge of state estimation techniques, including vision-based navigation and sensor fusion
Strong organizational skills with a demonstrated ability to lead complex development initiatives and specialized engineering team

Job Responsibility

Architect Autonomy Frameworks: Lead the system architecture and feature development for autonomous flight systems, with a specific focus on multi-agent coordination, task allocation, and resource scheduling in real-time environments
GNC Software Integration: Design, implement, and integrate C++ product software for guidance, navigation, and control modules. Ensure portability and scalability across diverse aerial platforms, overseeing the transition from algorithmic design to embedded deployment
State Estimation & Localization: Serve as the subject matter expert for state estimation and localization, developing software packages that fuse data from passive sensing, GPS, and IMU to ensure robust navigation in day, night, and off-road environments
Cross-Functional Leadership: Partner with Systems Engineering and Flight Test teams to drive performance analysis. Lead the definition of verifiable software requirements, ensuring GNC considerations are integrated into vehicle navigation and obstacle avoidance algorithms
Safety & Compliance: Direct the development of safety-critical autonomy software, coordinating safety compliance with agencies like the FAA or NASA, and managing rigorous validation processes for flight control and autonomous path following
Simulation Infrastructure: Champion the development of simulation and hardware-in-the-loop (HITL) test infrastructure. Drive performance analysis of compute loads and communications to improve the rigor of delivered features before flight
Mentorship & Methodology: Lead engineering teams in Agile environments, providing oversight on trajectory generation and control implementation while mentoring engineers in best practices for autonomy and robotics

Fulltime

Staff Software Engineer - Java

Our Staff Engineer is an influential technical leader and key member of the engi...

Location

United States , Seattle; Dallas

Salary:

115000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and Specialization with Java and at least one other modern language (e.g., C++, C#) including object-oriented design
Demonstrated ability to communicate complex technical concepts clearly, concisely, and directly, both verbally and in writing
Proven ability to provide independent technical leadership and mentor engineers with significant depth
Deep architectural maturity, capable of fostering and driving broader organizational influence through technical vision
Expertise in complex problem-solving autonomy, particularly in troubleshooting critical production issues and devising creative, scalable technical solutions
Experience in building products using microservices-oriented architecture and extensible REST APIs
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems, with a proven ability to think strategically and take a holistic, cross-domain view on system design
Extensive experience collaborating with architects and other technical leaders to shape engineering strategy and solutions
Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework, including continuous delivery and infrastructure as code
Experience with various operational tools and platforms, including Azure Portal, Azure Boards, and SonarQube

Job Responsibility

Provide influential technical leadership and guidance to engineering teams
Own complete solution across its entire life cycle
Proactively influence and collaboratively build vision with product managers, principal engineers, architects, team members, and customers to solve complex enterprise-class problems, demonstrating clear, concise communication and active listening
Be accountable for the quality, usability, and performance of the solutions
Lead impactful architectural design discussions and contribute to elevating the quality of engineering through active participation in peer review requests across the organization
Utilize programming languages like Java, and open-source frameworks (e.g., Spring Boot), Container Orchestration services including Docker and Kubernetes, Kafka, and a variety of Azure tools and services including Azure Boards and Azure AppInsights, alongside cloud data platforms like Snowflake
Mentor more junior team members professionally to help them realize their full potential
Consistently share best practices and drive improvements within and across teams, fostering curiosity and innovation to advance our technology and processes
Drive digital transformation initiatives, including modernizing and migrating legacy applications

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer (Applied AI)

This is a high-leverage opportunity to serve as a foundational technical leader ...

Location

United States , Seattle; New York City; Boston

Salary:

180000.00 - 240000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8-12 years of experience in large-scale software engineering, with a proven track record in service-oriented architectures and large data systems
Demonstrated architectural experience designing and implementing highly observable, scalable distributed systems, including complex microservices and event-driven architectures
Hands-on experience in the full-stack productization of Applied AI/LLM features, specifically working with RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Cloud platform proficiency (preferably AWS), including hands-on experience with infrastructure design, deployment pipelines, and cost optimization
Expertise in designing and optimizing data-intensive applications, including deep database expertise (schema design, query optimization) and data consistency patterns
A strong leadership track record in driving technical direction for significant, cross-functional projects

Job Responsibility

Architect and build the foundational LLM architecture (RAG, Agents, Vector DBs) that powers high-impact product features across the organization
Design and deliver high-performance, distributed systems (data pipelines, APIs, microservices) that process healthcare data at scale and securely integrate LLM outputs into the user experience
Drive Proof-of-Concepts (POCs) and technical evaluation of new AI technologies to validate their product viability and scalability
Design and build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence, championing security and regulatory compliance (HIPAA, SOC2)
Drive system design and technical planning for all critical projects, including large, complex, and cross-functional initiatives across the organization
Partner strategically with Product, Operations, and Design leadership, translating complex business requirements into technical strategies and influencing roadmap prioritization
Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development
Educate the organization on the capabilities, best practices, and limitations of using LLMs and applied AI within the healthcare domain
Define and implement engineering standards, patterns, and best practices that significantly improve scalability, reliability, and developer productivity across the product

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

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Staff Software Engineer - Autonomy Frameworks

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