Software Engineer, Wayve

HIL Platform Scalability Engineer

Salary not provided

Kubernetes

Python

Bash

Linux

Terraform

Ansible

Chef

Prometheus

Git

Unix

Datadog

Junior and Mid level

San Francisco Bay Area

2-5 days a week in office (Sunnyvale, CA)

Autonomous mobility driven by AI

Open for applications

Autonomous mobility driven by AI

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Open for applications

Salary not provided

Kubernetes

Python

Bash

Linux

Terraform

Ansible

Chef

Prometheus

Git

Unix

Datadog

Junior and Mid level

San Francisco Bay Area

2-5 days a week in office (Sunnyvale, CA)

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility through embodied intelligence.

Job

Company

Role

Who you are

You’re passionate about building robust, scalable test infrastructure that enables efficient system integration and validation at scale
You bring a strong mix of test system knowledge, infrastructure engineering and operational experience - with a strong focus on enabling engineering teams to deliver confidently at scale
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineer, Systems Engineering or a related field
2+ years of experience working with test infrastructure, e.g., HIL, or hardware/software test environments
Proficiency with observability/monitoring tools, e.g., Datadog, Gragana, Prometheus, etc
Strong scripting and automation experience using Python, Bash, or similar scripting languages
Proficiency with Linux or Unix based operating systems, command line tool
Familiarity with CI/CD pipelines, test scheduling systems, and orchestration tools
Excellent problem solving skills and operational thinking
Strong written and verbal communication skills
You’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Desirable

Experience in platform operations, site reliability engineering(SRE), or scaling test infrastructure
Hands-on experience with configuration management tools, such as Ansible, Chef, Terraform
Familiarity with containerization orchestration engines(e.g., Kubernetes) and proven understanding of continuous development techniques and pipelines (CI/CD, Git)
Experience working with autonomous systems including robotics and/or autonomous vehicles
Familiarity with automotive software development requirements and standards, such as ASPICE ,ISO 26262 and ISO 21448 (SOTIF) , with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR

What the job involves

You’ll monitor and maintain system health across the HIL fleet. You’ll track utilization, performance and uptime across all HIL benches - building dashboards, setting up alerts, and resolving issues that impact availability
You’ll drive configuration management and version control. You’ll ensure every bench is trackable - tracking hardware and software versions, enforcing configuration standards, and enabling reproducible testing environments
You’ll improve scalability of the HIL benches, identifying operational bottlenecks, proposing infrastructure upgrades, and defining processes to scale the HIL fleet across different regions efficiently
You’ll collaborate with IT/security teams to implement and maintain access control systems so engineers in all regions can safely interact with the HIL test fleet
You’ll be the go-to person when a bench goes down or a test gets blocked, and more importantly, you’ll design the systems that make sure it doesn’t happen again
This is an exciting opportunity to be part of a cutting-edge team that directly impacts the future of autonomous driving technologies, with an end-2-end AI model core

Our take

Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.

The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.

Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% female employees

24% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 7 rounds)

May 2024

$1.1bn

SERIES C

Jan 2022

$200m

SERIES B

Total funding: $1.3bn

Company benefits

Learning budget
In-house chef
Flexible Working
Private health insurance and therapy
Workplace nursery scheme
Onsite bar
Large social budgets
Enhanced parental leave

Company HQ

London, UK

Leadership

Alex Kendall

(CEO)

Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies

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