Camera Validation Engineer Job at 1X Technologies (San Carlos, California)

Senior Robotics Software Usecases Validation Engineer

Join AMD’s PAVS team as a Robotics Usecases Validation Engineer where you will V...

Location

India , Bangalore

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

4 to 7 years in QA/Validation, with 4+ years in robotics or AMR systems
Strong Python for automation and C++ for ROS2 integration
Hands-on experience with ROS2, Nav2 stack, colcon, and simulation tools (Gazebo/Ignition, Isaac Sim)
Expertise in LiDAR, depth cameras, IMU, odometry, and sensor calibration
Familiarity with fleet management systems, traffic control, and VDA5050 protocol
CI/CD experience with GitHub Actions/GitLab CI/Jenkins
Docker-based test environments
Knowledge of functional safety standards for mobile robots (ISO 3691-4, ISO 13849)
Bachelor’s or Master’s degree in Robotics, Electronics, Mechatronics, Computer Science, or a related field

Job Responsibility

Define Usecases and execute validation plans for robotics software stacks (perception, planning, control) and hardware subsystems
Develop automated test suites for ROS2 nodes, navigation stack (Nav2), and fleet APIs using Python/C++, pytest, gtest/gmock
Build simulation environments (Gazebo/Ignition, Isaac Sim) for warehouse layouts
author scenarios for obstacle avoidance, dynamic traffic, and multi-robot coordination
Set up Software-in-the-Loop and Hardware-in-the-Loop rigs for AMR controllers, LiDAR emulators, and safety sensors
automate provisioning and logging
Validate LiDAR, depth cameras, IMU, wheel encoders, and odometry accuracy under varying conditions
Test SLAM, localization robustness, path planning, and fleet orchestration (traffic management, task allocation, VDA5050 compliance)
Execute safety protocols for AMRs (emergency stop, zone monitoring, speed limits) aligned with ISO 3691-4, ISO 13849, ANSI/RIA R15.06
Measure latency, throughput, and stability under high-load scenarios

Fulltime

Thermal Validation Engineer

We are seeking a Thermal Validation Engineer to lead the design, execution, and ...

Location

United States , San Jose

Salary:

150000.00 - 250000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

5–8 years of hands-on experience designing or validating thermal systems for complex electromechanical, compute, or robotics platforms
Strong understanding of heat transfer, thermodynamics, and fluid mechanics, including air and liquid cooling systems
Proficiency with thermal instrumentation and DAQ tools such as thermocouples, IR cameras, and power analyzers
Demonstrated ability to analyze and correlate thermal test data with simulation results to validate designs
Skilled in Python or MATLAB for test automation, data collection, and analysis
Bachelor’s or Master’s degree in Mechanical, Thermal, Mechatronics, or Systems Engineering, or equivalent practical experience

Job Responsibility

Develop and lead the thermal validation strategy across subsystem and full-robot levels, from first article to fleet rollout
Create and execute detailed test plans for steady-state and transient thermal performance
Design and instrument test setups using thermocouples, IR cameras, wind tunnels, and DAQs to measure temperature, power, and flow
Analyze and correlate test data with simulation models to validate cooling performance and guide design improvements
Characterize and validate heatsinks, fans, and thermal interfaces for high-power compute and actuator assemblies through cycling and stress testing
Automate test execution and analysis using Python, MATLAB, or equivalent tools, and document results to ensure repeatable validation processes

Fulltime

New

Staff Sensor Validation & Characterisation Engineer

We are seeking an experienced Staff Sensor Validation & Characterization Enginee...

Location

India , Bangalore

Salary:

Not provided

Aeva

Expiration Date

Until further notice

Requirements

10+ years of experience in sensor validation, characterization, or test engineering, with end-to-end ownership of complex validation programs through development and release
Deep hands-on experience characterizing LiDAR, radar, camera, or similar sensor systems in both controlled lab and real-world environments. Automotive LiDAR experience strongly preferred
Strong background in designing and executing performance test campaigns — including test plan development, instrumentation setup, data acquisition, and statistical analysis of results
Proficiency with lab test equipment and measurement techniques relevant to optical/time-of-flight sensors (e.g., power meters, spectrometers, motion stages, reference targets, GNSS/IMU logging, data loggers)
Experience with data analysis tools and scripting (Python, MATLAB, or similar) for processing large sensor datasets and generating actionable characterization reports
Working knowledge of sensor system architecture — including how opto-mechanical design, DSP algorithms, and hardware limitations affect measurable performance and test methodology
Familiarity with ASPICE, ISO 26262, or ISO/SAE 21434 verification workflows is a plus, particularly as they relate to validation evidence and documentation
Strong analytical and communication skills
comfortable driving technical trade-offs across multidisciplinary teams

Job Responsibility

Own the validation and characterization strategy for LiDAR sensor performance — defining test plans, metrics, acceptance criteria, and traceability to system and component requirements
Lead hands-on sensor characterization in the lab: set up and operate test equipment, configure sensors under controlled conditions, execute performance measurements (range, accuracy, resolution, reflectivity response, latency, etc.), and document results
Plan and execute real-world field validation campaigns — designing test routes/scenarios, instrumenting vehicles, collecting synchronized sensor and reference data, and analyzing performance across real-world operating conditions
Develop automated test frameworks, data collection pipelines, and analysis tools to improve repeatability, throughput, and insight from characterization data
Analyze lab and field test data to identify performance trends, root-cause failures, and regressions
partner with algorithms, firmware, and hardware teams to drive corrective action
Define and maintain validation interfaces and performance budgets in coordination with systems and engineering teams — ensuring measured results map clearly to specification compliance
Support design verification activities, release readiness reviews, and customer/OEM validation requests with rigorous test evidence and clear reporting
Serve as the senior technical liaison for validation and characterization across engineering disciplines and in design/milestone reviews
provide technical guidance on critical deliverables as needed

What we offer

Be the first validation and characterization engineer in our Bangalore office in this domain — help establish the team, culture, and technical foundation from the ground up
Be part of a fast-paced and dynamic team

Fulltime

Camera Firmware Engineer

The Consumer Products team at OpenAI builds end-to-end hardware and software sys...

Location

United States , San Francisco

Salary:

293000.00 - 325000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Deep experience shipping embedded camera systems, including sensor bring-up, driver development, and board-level debugging
Strong C/C++ experience with embedded or Linux-based systems
comfortable debugging across kernel and userspace boundaries
Hands-on understanding of common camera hardware interfaces (for example, MIPI CSI and sensor control buses) and the practical realities of bring-up, including power, reset, clocking, and sequencing
Proven track record of building reliable capture paths and effective debug workflows that accelerate iteration through reproducible failures and well-scoped fixes

Job Responsibility

Bring up new camera sensors and modules on prototype and production boards, including link stability, sensor control, and correct power, reset, and clock sequencing
Develop and maintain low-level camera software, including sensor drivers, board configuration, and camera subsystem integration across hardware revisions
Enable and validate core capture paths for development and production, including RAW capture for debugging, still capture, and hardware-accelerated video encode and streaming with stable timestamps and long-duration reliability
Stand up camera control and repeatability features, including basic 3A loop exposure, manual overrides and locks, and deterministic presets to support validation and debugging
Build and maintain camera bring-up tooling, such as capture scripts, automated sweeps, manifests, and debugging utilities that make issues reproducible and easy to triage
Partner closely with electrical engineering, camera pipeline owners, and systems teams to define interfaces, unblock integration, and keep the camera stack stable as the device evolves

What we offer

Offers Equity
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth

Fulltime

Camera Reliability Engineer

As a Senior Camera Systems Reliability Engineer, you will play a pivotal role in...

Location

United States , San Mateo

Salary:

168000.00 - 230000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

At least 4 years developing a comprehensive understanding of design and process challenges involved in developing and validating highly reliable miniaturized camera modules and other optical systems
Proven ability to perform DOE and reliability statistical analysis including regression analysis, distribution analysis, survival analysis, etc.
Demonstrated failure analysis, root cause investigation, and problem-solving skills within optical, mechanical, electrical, and software domains
Familiarity with metrology tools and quantitative measurement methodology, including measurement system analysis (e.g. Gage R&R)
Prior experience of working with subcontract manufacturing partners and remotely driving test execution, FA and process improvement efforts
Excellent written and verbal communication skills

Job Responsibility

Participate in design reviews, facilitate FMEAs, and provide key 'Design for Reliability' inputs
Work closely with the System Reliability team to understand and convert system requirements into module level requirements documents for next gen cameras and sensors
Manage reliability test and qualification at module vendors by ensuring that test plans are followed, schedule is met, and lessons learned are applied to iterative builds
Dive into hands-on testing and failure analysis where needed to accelerate learnings and drive rapid issue resolution
Collaborate with mechanical, electrical, optical, process, and software engineering teams to perform failure analysis, identify root causes, and implement corrective actions

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time, sick leave, holiday pay and 401K savings plan

Fulltime

Principal Engineer for Android Camera Middleware

At BMW Car IT, a wholly owned subsidiary of BMW AG, we live and breathe software...

Location

Germany , Ulm

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

University degree in computer science, electrical engineering, communications engineering, or a comparable field of study
Several years of professional experience in embedded software development and quality assurance in the automotive industry with focus on camera- or video-based systems
Profound knowledge of overall Android OS architecture and SW development
Experience in video processing in Android (Camera HAL, Camera2 API, HAL services, hardware decoding interfaces, video buffer management, buffer sharing between VMs)
Comprehensive knowledge in video buffering, streaming, encoding/decoding and blurring
Experience with inter-process communication and middleware services
Experience with embedded development and analysis tools (e.g. Wireshark, Carmen, Perfetto, FTrace, Ediabas, Diagnostic Log & Trace Viewers, Visual Studio Code, etc.)
Excellent analytical, communication, and teamwork skills
business‑fluent English is required

Job Responsibility

Technical Lead responsible for the Android camera video middleware layer, bridging the camera platform, hardware abstraction layer (HAL), and client applications
Shape the video middleware architecture across multiple vehicle generations, ensuring performance, stability, safety and extensibility
Define and evolve software architectures for video buffering, routing, encoding, decoding and image blurring
Design and align interfaces between camera platform, video services, applications, and the hardware abstraction layers
Close collaboration with functional owners, system architects, SoC suppliers, video middleware teams and client teams for Camera Infrastructure, Display & Graphics, Android/Linux platform, and vehicle function teams
Ensure implementation aligns with software design and BMW requirements through code reviews
Contribute to system and software architecture by translating concepts into solutions, defining and validating technical requirements, and developing optimizations to enhance system performance and stability
Ensure that Android CDD requirements are fulfilled by suppliers in accordance with every Android OS migration
Manage CTS validation and elaborate solutions to pass Google’s certification processes
Act as a technical mentor and go-to expert for camera pre-processing within the domain and support with root-cause analysis

What we offer

Company car option
English speaking teams in an intercultural setting
Flexible organisation of working times & mobile work arrangements
Career development & continuous personal qualification
Relocation Services for our new employees

Fulltime

Principal Engineer for Automotive Camera Signal Processing

At BMW Car IT, a wholly owned subsidiary of BMW AG, we live and breathe software...

Location

Germany , Ulm

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

University degree in computer science, electrical engineering, communications engineering or a comparable field of study
Several years of professional experience in embedded software development and quality assurance in the automotive industry with focus on camera-based systems
Technical background in embedded Linux software development
Profound knowledge in camera image processing, video pipelines, image quality tuning and sensor configuration for automotive systems
Experience with serial camera interfaces and protocols (e.g. GMSL, FPD, ASA-ML, CSI, I²C)
Experience with embedded development and analysis tools (e.g. Wireshark, Carmen, Perfetto, FTrace, Visual Studio Code etc.)
Excellent analytical, communication, and teamwork skills
business‑fluent English is required

Job Responsibility

Technical Lead for automotive camera image signal processing and sensor-related software development
lead technical development of video pipelines and signal streams for SerDes-based cameras, including image quality tuning and diagnostics
support onboarding suppliers and coordinate technical topics with external partners
hands-on in implementation, integration, debugging, and optimization of camera pre-processing components
collaborate closely with functional owners, system architects, SoC and sensor suppliers, and middleware teams
ensure implementation aligns with software design and BMW requirements through code reviews
contribute to system and software architecture by translating concepts into solutions, defining and validating technical requirements, and developing optimizations to enhance system performance and stability
act as a technical mentor and go-to expert for camera pre-processing within the domain

What we offer

Company car option
English speaking teams in an intercultural setting
Flexible organisation of working times & mobile work arrangements
Career development & continuous personal qualification
Relocation Services for our new employees

Fulltime

Camera ISP Software Engineer

The Consumer Products team at OpenAI builds and ships end-to-end hardware and so...

Location

United States , San Francisco

Salary:

293000.00 - 325000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Deep experience shipping ISP tuning for embedded or mobile camera products, from bring-up through production
Strong fundamentals across 3A (AE/AWB/AF), noise modeling, sharpening and detail trade-offs, tone mapping, and color pipelines
Proven ability to run data-driven tuning loops, including repeatable capture, rigorous evaluation, and disciplined versioning of tuning artifacts
Hands-on experience debugging end-to-end camera pipelines on real hardware, including RAW capture, processed outputs, and hardware-accelerated paths
Ability to collaborate cross-functionally and translate system-level constraints (power, latency, motion, reliability) into concrete tuning decisions and validation plans

Job Responsibility

Own end-to-end ISP tuning and bring-up, from early prototypes through production hardware
Tune core 3A and image-quality blocks including AE, AWB, AF, noise reduction (spatial and temporal), sharpening, tone mapping, color correction, HDR/WDR, flicker mitigation, lens shading, defect pixel correction, and related ISP stages
Build repeatable capture and evaluation workflows, combining controlled lab sweeps with real-world validation
Validate robustness across sensor, module, and manufacturing variation with clear, defensible success criteria
Deliver production-grade tuning artifacts, including versioned tuning packs, parameter manifests, change logs, and curated RAW and processed datasets with supporting documentation
Partner closely with camera firmware, systems, and hardware teams to debug pipelines, configure sensors, and resolve board-level and silicon-level issues as designs evolve

What we offer

Offers Equity
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth

Fulltime

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Camera Validation Engineer

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