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Application Engineer Machine Tools Jobs in Hayward, CA

We are seeking a motivated and technically skilled Field Application Engineer (FAE) to serve as the ... Proficiency with CAD software (e.g., SolidWorks), drafting tools, and CAM software (e.g., CAM350 ...

Familiarity with AI and machine learning techniques as applied to robotic systems. * Background in ... Familiarity with vision systems, simulation tools, and sensor integration. * Strong analytical and ...

Field Application Engineer '27

Campbell, CA · On-site +1

$53K - $80K/yr

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Multiple ... Install and program our products using hand tools or programming languages. * Provide on-call, on ...

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Multiple ... Install and program our products using hand tools or programming languages. * Provide on-call, on ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Laser Applications Engineers works as a part of the Laser Applications Laboratory group ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Laser Applications Engineers works as a part of the Laser Applications Laboratory group ...

This role sits at the intersection of silicon, embedded systems, and machine learning, with a focus ... tools. * Optimize customer applications for power, latency, memory usage, and inference performance ...

Senior Application Engineer

San Jose, CA · On-site

$120K - $180K/yr

This role sits at the intersection of silicon, embedded systems, and machine learning, with a focus ... tools. * Optimize customer applications for power, latency, memory usage, and inference performance ...

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Application Engineer Machine Tools information

See Hayward, CA salary details

$57.9K

$126.9K

$174.3K

How much do application engineer machine tools jobs pay per year?

As of Aug 9, 2026, the average yearly pay for application engineer machine tools in Hayward, CA is $126,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an application engineer machine tools?

To excel as an Application Engineer in Machine Tools, you need a solid background in mechanical or manufacturing engineering, strong problem-solving abilities, and experience with CNC programming and machining processes. Familiarity with CAD/CAM software, PLC programming, and knowledge of automation systems are typically required, along with relevant certifications such as Siemens or FANUC training. Strong communication, customer service orientation, and teamwork skills help you effectively collaborate with clients and internal teams. These skills ensure you can optimize machine tool performance, deliver tailored solutions, and support customers in complex manufacturing environments.

What is an application engineer machine tools?

An Application Engineer for Machine Tools is a professional who specializes in the integration, programming, and optimization of machine tools such as CNC machines in manufacturing environments. They work closely with customers to understand their production needs, recommend suitable machinery, and provide technical support for installation, operation, and troubleshooting. Their role often involves demonstrating equipment capabilities, training operators, and developing custom solutions to enhance productivity and efficiency. Application Engineers act as a bridge between the manufacturer and the end user, ensuring that machine tools are used to their full potential.

What are the common challenges faced by application engineers in the machine tool industry, and how can they be addressed?

Application Engineers in the machine tool industry often encounter challenges such as customizing solutions for diverse client needs, staying updated with rapidly evolving technologies, and troubleshooting complex machining processes. To address these, it’s important to maintain strong communication with both customers and internal teams, invest in continual technical training, and develop robust problem-solving skills. Collaboration with sales, design, and service departments also plays a key role in delivering tailored, effective solutions and ensuring customer satisfaction.

What is the difference between Application Engineer Machine Tools vs Service Engineer Machine Tools?

AspectApplication Engineer Machine ToolsService Engineer Machine Tools
CredentialsBachelor's in Mechanical/Electrical Engineering, certifications in CNC or machiningTechnical diploma or associate degree, certifications in machine maintenance
Work EnvironmentCustomer sites, sales offices, manufacturing plantsFactory floors, customer sites, repair workshops
Primary FocusPre-sales support, product demonstrations, technical consultingMachine installation, troubleshooting, repairs
Industry UsageManufacturers, machine tool suppliers, sales companiesManufacturers, service providers, maintenance companies

Application Engineer Machine Tools primarily focus on pre-sales activities, technical consulting, and supporting customers in selecting the right machinery. Service Engineers Machine Tools concentrate on maintaining, repairing, and troubleshooting machines after installation. Both roles require technical skills and industry knowledge but differ in their core responsibilities and work environments.

What job categories do people searching Application Engineer Machine Tools jobs in Hayward, CA look for? The top searched job categories for Application Engineer Machine Tools jobs in Hayward, CA are:
What cities near Hayward, CA are hiring for Application Engineer Machine Tools jobs? Cities near Hayward, CA with the most Application Engineer Machine Tools job openings:

Senior Engineer, Machine Learning Application Developer

Samsung Semiconductor

San Jose, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 22 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

125th of 156 rated electronics manufacturers


Job description

Job Summary:
Samsung Semiconductor is a world leader in advanced semiconductor technology, focusing on creating a better world through excellence. They are seeking a Senior Engineer, Machine Learning Application Developer to develop neural rendering applications and machine learning software for efficient AI workload execution on mobile GPUs.
Responsibilities:
• You help developing and optimizing neural rendering applications, API-level software, and ML operator implementations, including GEMM, convolution, activations, and related workloads, using Vulkan, OpenGL, and OpenCL to enable efficient execution of ML and graphics workloads on Samsung GPU platforms.
• You analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads.
• You proactively seek collaborations with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions.
• You leverage low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization.
• You take initiatives on moderate-to-complex projects and help advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU technologies.
Qualifications:
Required:
• 3+ years of experience with a Bachelor's Degree in Computer Science, Computer Engineering, or comparable field, or 2+ years of experience with a Master’s Degree, or Ph.D.
• Strong programming skills in C, C++, and Python.
• Proficiency with API-level programming using in Vulkan, OpenGL, OpenCL, and machine learning frameworks such as PyTorch and TensorFlow.
• Understanding of GPU hardware architecture and experience with low-level performance profiling, analysis, and optimization.
• Hands-on experience developing neural rendering applications at the API level.
• Working knowledge of machine learning operators and workloads, including GEMM, convolution, activations, and related computational kernels.
• Ability to analyze hardware resource constraints and bottlenecks and develop software optimizations that improve performance and efficiency.
• Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions.
• Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.
Preferred:
• Working knowledge of assembly-level analysis, debugging, or optimization.
Company:
Samsung Semiconductor, Inc. (SSI) is a multi-billion dollar wide range of industry-leading semiconductor solutions. Founded in 1974, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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