Software Engineer, Applied Intuition
Telematics, VehicleOS
$183-253k
+ Equity for eligible roles
5+ days a week in office (Mountain View, CA)
Software infrastructure for autonomous vehicles
Be an early applicant
Software infrastructure for autonomous vehicles
201-500 employees
Be an early applicant
$183-253k
+ Equity for eligible roles
5+ days a week in office (Mountain View, CA)
201-500 employees
Company mission
To accelerate the world's adoption of safe and intelligent machines.
Role
Who you are
- 4+ years of experience in backend software development with strong proficiency in languages like Go, C++, Python, and experience with cloud-native application development
- Experience with cloud platforms and services such as AWS, Azure, or Google Cloud Platform, including containerization with Docker and orchestration with Kubernetes
- Knowledge of data processing and streaming technologies including Apache Kafka, Apache Spark, MQTT, NATS, WebRTC, gRPC, and experience building high-throughput data pipelines
- Experience with database technologies including both SQL and NoSQL databases, data warehousing solutions, and time-series databases for handling large-scale telemetry data
- Understanding of API design and development with experience in RESTful services, microservices architecture, and API security best practices
- Knowledge of DevOps practices including CI/CD pipelines, infrastructure as code, monitoring, and automated testing frameworks
- Strong problem-solving skills and ability to work in fast-paced cloud development environments with mission-critical, high-availability systems
Desirable
- Experience with real-time data processing and stream analytics platforms for handling continuous telematics data feeds
- Knowledge of cloud security best practices including authentication, authorization, data encryption, and compliance with industry standards
- Familiarity with IoT data protocols and experience integrating with various telematics data sources and third-party aggregators
- Experience with monitoring and observability tools for tracking system performance, analyzing API usage patterns, and diagnosing issues in production environments
- Knowledge of data visualization and business intelligence tools for creating dashboards and reports from processed telematics data
- Experience with event-driven architecture and serverless computing for building scalable, cost-effective telematics solutions
- Background in agile development methodologies and experience working in collaborative, cross-functional team environments
- Understanding of automotive or transportation industry standards and experience with fleet management or logistics applications
What the job involves
- As a Software Engineer - Telematics at Applied Intuition, you will be at the forefront of developing cutting-edge telematics platforms that enable seamless communication between devices, cloud services, and enterprise systems
- You will work on sophisticated backend systems that combine telecommunications and informatics to process, analyze, and manage multi-modal real-time telemetry data
- This role offers the opportunity to contribute to the rapidly growing cloud telematics market, building scalable data processing solutions that handle millions of connected devices and support enterprise-grade analytics platforms
- Design and develop scalable robust telematics backend systems that process high-volume, real-time telemetry data streams from millions of connected devices using modern microservices architecture
- Architect and implement robust data processing pipelines using technologies like Apache Kafka, Apache Spark, and stream processing frameworks to handle telematics data ingestion, transformation, and analytics
- Develop cloud-based data storage and analytics solutions leveraging distributed databases, data warehouses, and time-series databases to support real-time monitoring and historical analysis
- Implement device-to-device (D2D) communication systems that enable direct data exchange between connected devices, reducing latency and improving network efficiency through peer-to-peer connectivity
- Collaborate with cross-functional teams including data scientists, DevOps engineers, product managers, and frontend developers to deliver comprehensive telematics solutions
- Work on advanced analytics and machine learning integration to derive actionable insights from telematics data for predictive maintenance, risk assessment, and behavioral analysis
Our take
Autonomous vehicles present a lot of challenging problems to engineers, particularly in terms of safety and reliability, and testing and development can be infamously slow. Applied Intuition provides software to run simulations and tests for autonomous vehicles more quickly and effectively, speeding up the development and launch of AVs for multiple industries.
With big companies such as Tesla and Google focused on developing automation, Applied Intuition has the scope to provide the software that makes it a reality. The company’s suite of simulation, validation, and drive log management software aids in the more efficient deployment of autonomous vehicles, with companies such as Toyota, Nissan, and General Motors relying on its solutions.
As the autonomous vehicles market accelerates, Applied Intuition is well set for growth, especially as it continues to expand its capabilities. Notable developments include the acquisitions of CarSim, Scenebox and Embark Trucks, as well as partnerships with AMBA and Valeo. All these efforts seek to bolster the company's offering towards supporting the faster and safer deployment of AVs.
Steph
Company Specialist at Welcome to the Jungle
Insights
68% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2025
$600m
SERIES F
Mar 2024
$250m
SERIES E
Total funding: $1.2bn
Company benefits
- Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
- 401(k) Match: 50% employer matching to help you save money for retirement
- Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
- Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
- Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
- Catered lunch, expensed dinner, on-site meals and snacks
Company HQ
Mountain View, CA
Leadership
Peter Ludwig
(CTO)Worked at Google for 5 years, including as a Product Manager.
Qasar Younis
(CEO)Former COO at Y Combinator. Previously a Group Product Manager at Google. Founded TalkBin.
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