דרושים Electrical Engineer - Senior Pcba Design ב-Kla ב-United States, Michigan, Ann Arbor

Responsibilities

Work with functional groups to define requirement specifications needed to developelectrical/electronic

Responsible for technical project planning including project timelines, milestones, budget estimate and design reviews

Design mixed signal electronic systems, including schematic capture, simulation and layout review

Create test plans and perform testing, technical and root cause analysis to validate design performance at bench and system level including hands-on testing, spec validation, troubleshooting and root cause analysis

Qualifications

Minimum 5-7 year’s experience with BSEE, or 3-5 years experience with MSEE

Solid knowledge of electrical system design principles, analog/digital and mixed signal design, computer electronics, etc.

Strong technical project management skills and good understanding of engineering design phases and deliverables

Good track record to drive executions

Excellent problem-solving skills

Excellent written and verbal communications skills

Hands-on experience with lab equipment like logic analyzer, oscilloscope, soldering, etc.

Knowledge of board level FPGA/CPLD, motor/motion controls, power electronics, camera systems and image acquisition is a plus

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In this role, you’ll go beyondimplementation—you’llarchitect, optimize, and lead the development of advanced algorithms that push the boundaries of what’s possible in high-resolution imaging and real-time analysis. You’ll work closely with cross-functional teams to define technical direction, validate performance, and ensure seamless integration into production systems.

• Design and optimize cutting-edge algorithms for image processing, inverse problems, and computer vision
• Prototype in Python or MATLAB, and implement high-performance solutions in C++ on Linux
• Accelerate algorithm performance using CUDA/GPU programming
• Collaborate with systems, software, and hardware teams to translate complex requirements into scalable solutions
• Lead technical discussions, mentor junior engineers, and contribute to long-term algorithm strategy
• 5+ years of hands-on experience in image processing, computer vision, or machine learning in a production environment
• Deep expertise in spectral/spatial filtering, model-based methods, and inverse problem solving
• Strong proficiency in C++, with experience developing on Linux platforms
• Proven ability to prototype and validate algorithms in Python or MATLAB
• Familiarity with CUDA, TensorFlow, or other GPU-accelerated frameworks is a strong plus
• Experience architecting algorithms from the ground up and solving real-world vision challenges at scale

• Work on mission-critical technology that powers the semiconductor industry
• Be part of a high-caliber team where your expertise drives innovation
• Enjoy a hybrid work model with 3 days in the office and flexibility built in
• Grow your impact through technical leadership, cross-functional collaboration, and continuous learning

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

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JobQualifications

Are you ready to build, lead, and innovate at the forefront of AI? We’re looking for a Senior Software Engineer with expertise in data science, AI training data pipelines, and big data to design, scale, and optimize high-impact enterprise systems! If you're a hands-on technologist who thrives in high-performance environments and is ready to inspire change, mentor others, and shape the future—this is your moment. Poised to grow into a technical leadership or engineering management role, you'll have the opportunity to lead impactful initiatives. Make your move now!

• Collaborate with brilliant minds across data science, ML engineering, and product strategy
• Build scalable systems that power real-time insights and intelligent automation
• Be part of a team that values creativity, ownership, and continuous growth

Job Duties, but not limited to:

• Designing and implementing AI training data pipelines to support scalable machine learning workflows
• Building and optimizing real-time big data systems for ingestion, processing, visualization, and analytics
• Developing high-performance in-memory data processing solutions using modern frameworks
• Architecting and delivering microservices-based platforms across Linux and Windows environments
• Leading design reviews, mentoring engineers, and crafting technical strategy
• Ensuring code quality, performance, and maintainability through standard processes

Qualifications, but not limited to:

• Advanced degree in Computer Science, Engineering, or a related field
• 8+ years of demonstrated ability in software engineering with a focus on data-intensive systems.
• Experience with enterprise application development
• Strong programming skills in C++ and C#
• Deep expertise in data processing, streaming architectures, and AI/ML workflows
• Experience with big data systems; CUDA, Apache Arrow. gRPC or similar in-memory columnar data formats
• Proficiency in both Linux and Windows development environments
• Familiarity with microservices architectureand containerizationtools like Docker and Kubernetes

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

. Please ensure that you have searched

Responsibilities:

• Design, develop, and deploy AI-driven solutions leveraging Generative AI and LLMs

• Architect and implement scalable, cloud-based AI applications (Azure experience preferred)

• Build and optimize AI models using Python and modern ML frameworks

• Ensure reliable software deployment and support production environments

• Drive best practices in AI, cloud deployment, and solution architecture

• Monitor and troubleshoot production AI applications, ensuring high availability and performance

• Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into software products

• Provide technical mentorship and guidance to junior engineers

Minimum Qualifications

• Bachelor's degree in CS, IT, Computer Engineer or related field

• Minimum eight (8) years of proven experience in software engineering, AI engineering, cloud engineering, or a similar role

• Experience supporting and maintaining production AI applications

• Solid understanding of solution architecture, software deployment, and cloud infrastructure

• Experience deploying applications to cloud environments (Azure Preferred)

• Hands-on expertise in Generative AI and Large Language Models (LLMs)

• Proficiency in Python and experience with AI/ML frameworks (e.g., CUDA, OpenAI, Hugging Face, or similar)

• Ability to collaborate effectively with multi-functional teams and partners

or at +1-408-352-2808

Responsibilities:

You will work with an agile full-stack team of software, data and algorithm engineers, with responsibilities spanning all stages of the software product lifecycle. This includes gathering and defining technical requirements, researching appropriate technologies, selecting optimal solutions based on requirements and success criteria, designing the requisite software components, coding the design, performing the requisite tuning and testing, and maintaining up-to-date documentation.

You will fit right in if you have a sound understanding of the fundamentals of Computer Science and practical experience developing reliable software components.

• Technical expertise in one or more programming languages (C#/Java/Python)

• Excellent softwaredesign/implementationcapabilities

• Strong understanding of data structures and algorithms

• Experience with data processing and storage technologies such as SQL and/or NoSQL Database systems

• Experience working with source control systems

• Strong communication and interpersonal skills

• Motivated to learn new skills independently

• Creative thinker with good problem-solving abilities

Having some of following types of experience is useful:

• Experience developing a software application that ships to a customer and/or data storage/processing infrastructure used in production

• Multi-threaded and multi-core software application programming

• Experience with containerization and cluster management tools such as Docker and Kubernetes

• Basic understanding of statistics, data visualization, analytics, and machine learning

• Distributed computing principles

• Web development (HTTP, REST, JavaScript, HTML, CSS)

• Experience building or troubleshooting scientific instruments or other mechanical, electrical, and/or optical systems

Hybrid Work:

• This position allows flexibility and may require at least 2-3 days in the office.

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Qualifications

The successful candidate will possess: Structure and coding Knowledge of SPARC or VxWORKS, C, C++, RTOS, Linux Embedded image processing or data conversion a plus A highly motivated individual able to work in a multi-discipline and multi-culture global organization as a driven teammate Be flexible and adaptive to adjust project focus based on changes in business priority dynamics

Minimum Qualifications

Doctorate (Academic) or work experience of 2 years , Master's Level Degree or work experience of 4 years , Bachelor's Level Degree or work experience of 5 years

. Please ensure that you have searched

You will work with an agile full-stack team of software, data and algorithm engineers, with responsibilities spanning all stages of the software product lifecycle. This includes gathering and defining technical requirements, researching appropriate technologies, selecting optimal solutions based on requirements and success criteria, designing the requisite software components, coding the design, performing the requisite tuning and testing, and maintaining up-to-date documentation.

You will fit right in if you have a sound understanding of the fundamentals of Computer Science and practical experience developing reliable software components.

• Technical expertise in one or more programming languages (C#/Java/Python)

• Excellent softwaredesign/implementationcapabilities

• Strong understanding of data structures and algorithms

• Experience with data processing and storage technologies such as SQL and/or NoSQL Database systems

• Experience working with source control systems

• Strong communication and interpersonal skills

• Motivated to learn new skills independently

• Creative thinker with good problem-solving abilities

Having some of following types of experience is useful:

• Experience developing a software application that ships to a customer and/or data storage/processing infrastructure used in production

• Multi-threaded and multi-core software application programming

• Experience with containerization and cluster management tools such as Docker and Kubernetes

• Basic understanding of statistics, data visualization, analytics, and machine learning

• Distributed computing principles

• Web development (HTTP, REST, JavaScript, HTML, CSS)

• Experience building or troubleshooting scientific instruments or other mechanical, electrical, and/or optical systems

. Please ensure that you have searched