Camera Imaging Software Engineer

BayOne Solutions; Sunnyvale (CA); On-site; USD 120,000 - 185,000; Full time

Job summary

BayOne Solutions in Sunnyvale, CA is seeking an experienced Software Engineer for embedded automotive camera solutions. The role focuses on C/C++ development on Linux embedded platforms, with hands-on work across kernel, BSPs, and real-time constraints on SoCs.

You will lead end-to-end software architecture for camera image pipelines, perform bring-up and PoC, and collaborate across teams to deliver feature-rich, high-performance solutions on next-generation automotive platforms.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• 6+ years of software engineering or related work experience.
• Strong C/C++, Java, Python experience.
• Experience with embedded real-time systems.

Responsibilities

• Lead end-to-end software architecture for Camera Image solutions on Automotive SoCs.
• Perform bring-up and develop proof-of-concept for camera-to-display pipeline on platforms and next-generation SoCs.
• Work across diverse technology areas to develop features for camera control and data path.
• Ensure product deliverables meet functionality, stability, power, and performance.
• Engage with development partners to understand technical requirements and feasibility.

Skills

C/C++

Linux Embedded

RTOS

Camera pipeline

Architecture

Problem solving

Communication

Education

Bachelor's degree in Engineering/CS

Tools

Linux kernel

BSPs

Hypervisors

Job description

Location: Sunnyvale, CA (Onsite; hybrid possible for the right candidate)

Duration: 12+ Months Contract

Role Overview

Strong development experience with C/C++ language and strong programming skills

Hands-on development experience on Linux Embedded, Ubuntu, CentOS, and Debian platform software stacks

Hands-on development experience with the Linux kernel, performance tuning, and board support packages

Demonstrated hands-on architectural knowledge of end-to-end software flow for a typical embedded SoC

Ability to navigate touchpoints in different stages of the software stack, examine technical issues

Working knowledge camera-to-display pipeline using different hardware accelerator functions in SoC

Strong deductive problem-solving skills, with effective verbal and written communication for cross-team collaboration

Hands-on experience with the full software development life cycle including design, implementation, deployment, and support

Ability to translate architecture concepts into working system-level software on selected SoCs, generate structured evaluation data and documentation

Real-time use-case enablement with performance tuning for real-time applications on Guest or Host OS is beneficial

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

Preferred Qualifications:

6+ years of experience with programming languages such as C, C++, Java, Python, etc.

8+ years of designing and leading real-time embedded and industrial solutions with hands-on experience

Strong understanding of board support packages, hypervisors, RTOS, and OS concepts and fundamentals

Strong understanding of Linux kernel and internals

Knowledge of SoC systems and related concepts, including bring-up

Strong aptitude, fast learner, self-motivated, and willing to work across a broad range of technology areas

Principal Duties and Responsibilities:

Lead end-to-end software architecture, definition, and execution of Camera Image solutions on Automotive SoCs

Perform bring-up and develop proof-of-concept for camera-to-display pipeline on platforms and next-generation SoCs

Work across diverse technology areas to develop cutting-edge features for implementing and iterating on the camera control and data path

Ensure product deliverables are completed on time and meet expectations for functionality, stability, power, and performance

Engage with development partners to understand technical requirements, perform high-level feasibility analysis, and collaborate with technology teams to deliver solutions