The role involves developing low-level embedded software for vehicle control, integrating sensors, collaborating with various teams, and ensuring safety standards are met while mentoring junior developers.
The Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development.
You will…
- Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.
- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.
- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.
- Develop software according to industry-best practices for safe, reliable and robust code.
- Support the bring up and operation of the autonomous platform, both remotely and on-site.
- Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field.
Qualifications:
- An experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other.
- A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.
- A technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust).
- Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards.
Requirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.
The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Waabi San Francisco, California, USA Office
San Francisco, California, United States
Similar Jobs
Cloud • Mobile • Software
Leads architecture and development of BuildOps’ integration and data platform. Designs APIs, service patterns, databases, event-driven systems, and scalable cloud infrastructure while improving observability, reliability, testing, and deployment practices. Drives technical strategy across multiple engineering teams, mentors engineers, evaluates technologies, and collaborates cross-functionally to deliver secure, high-quality platform capabilities and financial data integrations.
Top Skills:
AWSCi/CdDockerGCPGraphQLJavaScriptKubernetesMySQLNode.jsPostgresRestSQLTemporalTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, test, launch, and operate full-stack services automating responses to legal, regulatory, and civil requests. Develop backend systems, internal web tools, and integrations across microservice and event-driven architectures. Collaborate with Counsel, Compliance, and Operations while handling sensitive customer data. Participate in on-call, incident response, code reviews, modernization efforts, and responsible use of AI-powered development tools.
Top Skills:
Ai AgentsAuroraAWSBuildkiteClaudeDatadogDynamoDBGooseGradleGrpcHTTPJavaJSONKafkaKotlinLlmsMcpMicroservicesMySQLProtocol BuffersReactRedisRuby On RailsSidekiqTypescript
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Administers and supports enterprise network, server, endpoint, identity, security, and infrastructure systems across office and manufacturing environments. Responsibilities include managing VMware and Azure clusters, Cisco and Fortinet networking, Windows and Linux systems, Microsoft 365 and hybrid identity, patching, backups, disaster recovery, monitoring, troubleshooting, help desk escalation, and infrastructure improvements.
Top Skills:
Active DirectoryAzure Active DirectoryAzure LocalAzure Stack HciBackup And Disaster RecoveryCisco Lan/WlanConditional AccessDhcpDnsEndpoint ProtectionFortinet FirewallGroup PolicyItilLinux DebianLinux UbuntuMfaMicrosoft 365AzureMicrosoft Entra IdNetapp SanPowershellPythonRoutingSwitchingVbscriptVlanVmware EsxiVpnWindows 11Windows Server
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
