Senior AV Engineer Job at Dynamic Search Solutions (London)

Senior AV Engineer

We are seeking a highly skilled Senior AV Engineer to lead and deliver high-end ...

Location

United Kingdom , London

Salary:

45000.00 - 55000.00 GBP / Year

Dynamic Search Solutions

Expiration Date

Until further notice

Requirements

Strong background in AV installation and integration
Hands-on experience with control systems (Crestron, Lutron, Savant, Control4) and networking (Unifi, Ubiquiti, Ruckus), including VLANs, VPNs, IP addressing, routing, switching, and fault finding
Strong leadership and organisational skills with the ability to manage teams and subcontractors
High-level attention to detail and a commitment to exceptional quality
Ability to remain calm and deliver under pressure, especially on high-value projects

Job Responsibility

Lead and manage AV projects on site, ensuring timely and high-quality delivery
Install, program, and troubleshoot AV, lighting, and control systems (Crestron, Lutron, Savant)
Manage and coordinate on-site engineers and subcontractors
Liaise directly with clients, maintaining professional communication and relationships
Maintain site quality control to exceptional standards
Oversee networking setup and integration across AV systems
Ensure projects are completed within agreed scope, timelines, and budgets

What we offer

Company van or £4k car allowance
22 days holiday + birthday off
Christmas to New Year closure

Fulltime

Senior Hardware Engineer - AV Systems - AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...

Location

United States , Sunnyvale

Salary:

180000.00 - 200000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, or related field
Strong background in complex hardware system architecture, with 3+ years of experience building Autonomous Vehicles, Robotics, or Aerospace products
Understanding of overall AV sensing modalities and their underlying physics, data structures, and failure modes
Understanding of high-performance compute systems and high-speed data interconnects in constrained environments

Job Responsibility

System Architecture & Topology: Participate in designing the L4 hardware architecture, determining the optimal sensor placement (FoV coverage vs. vehicle aerodynamics), sensor mix (redundancy vs. cost), and compute topology (centralized vs. zonal) to meet safety and data collection goals
Supplier Engagement: Participate in the technical roadmap relationships with key industry partners
Multi-Modal Integration: Solve complex system-level challenges such as multi-sensor time synchronization, electromagnetic interference mitigation between high-power compute and sensitive RF sensors, and centralized thermal management strategies

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan

Fulltime

Senior Software Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

4+ years of working experience in software engineering
Bachelor’s degree in Mathematics, Physics, Computer Science, Computer Engineering, or related fields
Proficient in C++ and Linux environments

Job Responsibility

Building advanced autonomy algorithms to add rich semantics to our massive driving data
Development and implementation of the latest techniques that enable better data mining, deep scene understanding, and causal modeling of ego vehicle behavior
Identifying complex edge cases, providing robust algorithmic solutions, and setting a high technical excellence bar

What we offer

Bonus program
Equity award
Other types of comp
401(k) plan
Various benefits

Fulltime

Senior Platform Engineer – AV Cloud Engineering

We are hiring a Senior Platform Engineer to join the Autonomous Vehicle (AV) Clo...

Location

United States , Austin;Sunnyvale

Salary:

170000.00 - 230000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc.
Hands-on experience implementing high-availability systems and managing the lifecycle of production-grade clusters
Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform
Ability to operate independently in an ambiguous environment and translate high-level requirements into clear technical tasks
A 'Growth-based Mindset' with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching
Professional experience managing the trade-offs between hardware-level performance (GPU passthrough) and clean cloud abstractions
5+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers
Bachelors Degree in Computer Science or related field OR equivalent work experience
Hands-on experience with Kubernetes in production and strong familiarity with at least one major cloud ecosystem such as GCP, AWS, or Azure
Strong software engineering skills in Go, Python, or similar languages, with the ability to build reusable automation, services, APIs, or controllers

Job Responsibility

Build and evolve internal platform capabilities, self-service workflows, APIs, and automation that make the right path the easiest path for AV engineering teams
Design clean abstractions that allow product and research teams to consume complex infrastructure, including specialized hardware such as GPUs, without deep infrastructure expertise
Improve platform primitives across traffic, service mesh, runtime configuration, and connectivity for distributed AV workloads
Reduce toil and improve reliability through reusable platform tooling, declarative automation, strong service ownership, observability, and SLIs/SLOs
Take ownership of complex platform initiatives from problem definition through design, implementation, and adoption
Partner with adjacent AV infrastructure teams to reduce developer friction and improve the reliability of the platform AV engineers depend on
Contribute to a healthy engineering culture through design reviews, code reviews, mentorship, and clear technical communication

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

Senior Reliability Engineer - AV Labs

We are looking for a hardware focused Senior Reliability Engineer to focus on se...

Location

United States , Sunnyvale

Salary:

180000.00 - 200000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

5+ years of relevant industry experience in software engineering, site reliability, or systems engineering
Experience with modern observability platforms (e.g., Prometheus, Grafana, ELK) in edge, IoT, or hardware-integrated environments
coding skills in one or more of Go, Python, or C++, with experience building and operating production systems
Proficiency in Linux internals and shell scripting for triaging and debugging edge devices or hardware-adjacent systems
Ability to debug across services, containers (Docker), and networking stacks
Proven track record owning reliability, infrastructure, or platform systems for large-scale production workloads
Experience designing and operating observability systems (metrics, logging, alerting, and dashboards)
Experience defining and implementing SLIs and SLOs for system availability or data yield
Deep understanding of networking protocols (TCP/IP, gRPC, or MQTT) and data handling in bandwidth-constrained environments
Experience driving complex technical projects and architectural reviews across multiple teams from design through production

Job Responsibility

Architect Observability Systems: Design and scale an observability platform capable of ingesting and analyzing real-time health telemetry from thousands of distributed vehicle nodes
Build for Edge Constraints: Develop systems that remain performant despite hardware diversity, intermittent connectivity, and rapid fleet scaling
Define Criticality Models: Establish alerting strategies that distinguish transient anomalies from systemic issues impacting sensor uptime and data yield
Detect Complex Failure Modes: Design detection logic for 'silent' failures, such as sensor degradation, compute saturation, or recording pipeline stalls
Scale Through Automation: Design automated detection, triage, and mitigation mechanisms to eliminate manual intervention as the fleet grows
Partner on Mitigation: Collaborate with Operations and Engineering to build safe, automated responses to recurring hardware and software failure scenarios
Drive Operational Efficiency: Build technical interfaces to help Operations surface issues and Engineering diagnose and deploy mitigations rapidly (TTD/TTM)
Lead Technical Strategy: Drive reliability-focused design reviews and translate operational pain points into concrete technical requirements and roadmaps
Uncover Proactive Insights: Apply advanced data analytics to identify latent patterns in fleet telemetry, enabling the proactive detection of systemic regressions and hardware degradation before they impact operations

What we offer

Uber's bonus program
equity award & other types of comp
401(k) plan
various benefits

Fulltime

Senior Electrical Engineer - AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , Sunnyvale

Salary:

180000.00 - 200000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related technical discipline with 5+ years of hands-on experience in automotive wire harness design and development
Strong experience in both 2D schematics and 3D physical routing, with a specific focus on designing wire harnesses for high-speed data communication protocols such as Automotive Ethernet (100BASE-T1/1000BASE-T1) and CAN/CAN-FD bus
Proficiency in industry-standard professional EDS design, simulation, and CAD software (e.g., Siemens Capital/CHS, CATIA V5/V6, or AutoCAD)

Job Responsibility

Lead End-to-End L4 Hardware Architecture Design: Own the end-to-end routing, schematic capture, component selection, and 3D integration of complex wire harness assemblies, specifically focusing on the L4 autonomous driving sensor kit and high-performance computing platform
Optimize Topology & Redundancy: Collaborate closely with cross-functional teams (E/E Architecture, Perception, Packaging, and Power Distribution) to define network topologies, optimize grounding strategies, and ensure robust power distribution redundancy for fail-operational systems
Mitigate EMI & Ensure Signal Integrity: Define and implement strict shielding, twisting, and physical separation rules within the harness layout to guarantee signal integrity for High-Speed Ethernet channels and prevent cross-talk/EMI between high-power lines and sensitive sensor data lines
Troubleshoot & Launch Prototypes: Lead root-cause analysis and troubleshooting for electrical noise, signal degradation, and EMI issues during vehicle prototype builds and fleet testing
efficiently execute engineering change orders (ECO) to support rapid vehicle iteration
Supplier Management & Validation: Partner with Tier 1 suppliers to source high-quality, automotive-grade high-speed connectors and cables, manage engineering drawings for manufacturing feasibility (DFM), and author validation test plans (mechanical, environmental, and electrical) to guarantee production-ready compliance

What we offer

Participation in Uber's bonus program
eligibility for equity award & other types of comp
eligibility to participate in a 401(k) plan
various benefits

Fulltime

Senior Software Engineer - AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

4+ years of working experience in the ML/Robotics industry
Bachelor's degree in Computer Science, Computer Engineering, or related fields
Proficient in C++ and Linux environments
Familiar with modern AI/ML frameworks (e.g., TensorRT)

Job Responsibility

Algorithm Development: Lead the development of autonomy algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
Systems Architecture Design: Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack
Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions that can stand the test of scale and availability
Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan

Fulltime

Senior Cloud Engineer – AV Cloud Engineering

We are hiring a Senior Cloud Engineer to join the AV Cloud Engineering team with...

Location

United States , Austin, Texas; Sunnyvale, California

Salary:

170000.00 - 230000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc.
Hands-on experience implementing high-availability systems and managing the lifecycle of production-grade clusters
Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform
Ability to operate independently in an ambiguous environment and translate high-level requirements into clear technical tasks
A "Growth-based Mindset" with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching
Professional experience managing the trade-offs between hardware-level performance (GPU passthrough) and clean cloud abstractions

Job Responsibility

Architectural Execution: Implement and manage the lifecycle of Kubernetes (GKE) clusters across hybrid and multi-cloud environments, ensuring production safety through automated patching and upgrades
Platform Implementation: Develop and maintain self-service PaaS features that abstract infrastructure complexity, providing reliable and performant access to specialized hardware like GPUs
Connectivity & Traffic: Implement and optimize high-throughput ingress patterns and service mesh (Istio) configurations to support distributed AV data and ML workloads
Project Independence: Take ownership of complex cloud initiatives from design through deployment, identifying technical gaps and proactively implementing robust solutions
Operational Excellence: Eliminate "human duct tape" by replacing manual cloud-management tasks with declarative state-enforcement (Terraform/GitOps) and custom automation
Reliability & Observability: Define and monitor SLIs/SLOs for cloud services, ensuring the platform meets the availability targets required for Super Cruise validation
Peer Mentorship: Proactively share technical lessons learned and participate in rigorous code and architecture reviews to support a healthy, high-trust engineering culture

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

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Senior AV Engineer

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Senior AV Engineer

Senior AV Engineer

Senior Hardware Engineer - AV Systems - AV Labs

Senior Software Engineer – AV Labs

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Senior Reliability Engineer - AV Labs

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Senior Software Engineer - AV Labs

Senior Cloud Engineer – AV Cloud Engineering

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