The Job logo

What

Where

Optical Process Engineer

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Seeking a skilled process engineer with experience in optical device backend production. Responsibilities include process development, metrology development, and complex process engineering. The candidate must have hands-on experience with equipment setup and be proficient in data analysis and statistical process control. Knowledge of Gage R&R is required. Strong communication and negotiation skills are necessary to interact with customers. Bachelor's degree and 4-7 years of experience are required. This is a highly impactful role with opportunities for travel and relocation.

Key Responsibilities 

  • Process development for optical device backend production 
  • Metrology development for process monitoring and improvement 
  • Design, collect data, analyze and compile reports on a wide range of complex process engineering experiments for multiple products, within safety guidelines 
  • Utilize techniques to characterize hardware, define methods and apply new technologies to characterize hardware, and/or perform hardware characterization on a wide range of complex systems for multiple products, within safety guidelines 
  • Generate internal and external documentation for products, presentations, technical reports and generate process engineering specifications 
  • Develop, plan and execute process engineering projects, within safety guidelines 
  • Develop and mature processes that meet customer specs
  • Interact with customers to resolve a wide range of complex process engineering issues/problems 
  • Design and implement new technology, products and analytical instrumentation 
  • Identify, select and work with vendors and suppliers  

Functional Knowledge 

  •  Gage R&R and Statistical Process Control 
  • Data analysis using python / jmp / etc.  
  • Hands-on experiences setting up new equipment’s and processes 
  • Experiences in the following areas are a big plus: laser singulation, optical inspection, die bonding, micro- and nano-scale manufacturing. 

Business Expertise 
Interprets internal/external business challenges and recommends best practices to improve products, processes or services 

Leadership 
May lead functional teams or projects with moderate resource requirements, risk, and/or complexity 

Problem Solving 
Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions 

Impact 
Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies 

Interpersonal Skills 
Communicates difficult concepts and negotiates with others to adopt a different point of view 
 

Qualifications

Education: Bachelor's Degree

Years of Experience: 4 - 7 Years

Additional Information

Travel: Yes, 10% of the Time

Relocation Eligible: Yes

U.S. Salary Range:

$116,000.00 - $159,500.00

Set alert for similar jobsOptical Process Engineer role in Santa Clara, United States
Applied Materials Logo

Company

Applied Materials

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 years

Category

Software Engineering

Locations

Santa Clara, California, United States

Qualification

Bachelor

Applicants

Be an early applicant

Related Jobs

Applied Materials Logo

Process Engineer - Advanced Degree

Applied Materials

Santa Clara, California, United States

Posted: a year ago

Process Engineers are responsible for developing cutting-edge processes used to manufacture semiconductor chips. They design and analyze experiments, troubleshoot complex problems, and generate documentation. They interact with customers and collaborate with multidisciplinary teams. Graduates with advanced degrees in relevant fields and previous internship experience are preferred.

Applied Materials Logo

Financial Analysis - (B4)

Applied Materials

Santa Clara, California, United States

Posted: a year ago

Key Responsibilities Lead and drive operating expense & capital budget planning process by engaging with business partners and senior management Interface with business partners to drive operating expense prioritization to manage actual spending to targeted levels Collaborate with business partners and develop business and financial scenario analysis to determine ROI and viability for programs Ensure data accuracy and help management team develop and tell the story using that information (forecasting/budgeting, financial close, balance sheet integrity) Partners with finance counterparts to drive and implement best practices for financial tools and processes for financial cycles and analytical tools Support management in completing other ad hoc projects and analysis Completes detailed analysis and commentary for finance and non-finance executives Implement Agile / Digital processes together with extended team   Key Expectations Proven competencies in communication, financial analysis and working across functions with different levels of management to drive results Eager to learn and understand the business to apply and establish standardized financial processes Influencing – ability to impact decision within own organization, cross functionally and within different level of management by leveraging experience and competencies in financial analysis Self-starter: able to maintain financial cycle deliverables, identify change and drive items to closure with limited management oversight Curiosity to understand the drivers of top and bottom-line growth   Qualifications 5-7 years relevant experience; Very strong Excel skills, including modeling Analytical and problem-solving skills Interpersonal skills to engage with partners to understand key issues, develop recommendations and implement actions to improve the business result Basic accounting knowledge Data analysis tools such as Tableau or Power BI is a plus Qualifications Education: Master's Degree Years of Experience: 7 - 10 Years Additional Information Relocation Eligible: No U.S. Salary Range: $120,000.00 - $165,000.00

NVIDIA Logo

Senior Performance Engineer

NVIDIA

Santa Clara, California, United States

Posted: a year ago

What you’ll be doing: Lead all aspects of implementing performance practices in large scale infrastructure, deliver powerful tools, methodologies, and flows to validate and improve several datacenter products in parallel. Accelerate strategic customer deployments and ensure speed-of-light bringup and deployment of ground-breaking AI infrastructure by working hand in hand tailoring design and faster processes to customer needs. Specific responsibilities include owning the architecting of performance design and settings of datacenter at scale products both implemented in FW and SW components to ensure velocity and scale while efficiently using resources. This involves early engagement with HW/FW/SW/platform internal and customer teams, and other groups, to build end-to-end solutions and optimize datacenter product designs. As a key member you will supply to architecting of the implementation of server and rack level telemetry aspects, collaborate and establish continuous improvements in our design flows. Participating in engagements with various SW and FW (BMC/SBIOS/OS/drivers etc) teams to develop best-in-class practices and tools, you will be analyzing, debugging and resolving critical firmware and software issues for the best AI workload performance at scale. Provide engineering solutions to enable large scale performance strategies for performance for Datacenter GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assisting systems engineers in building creative solutions based on NVIDIA technology. Be an internal reference for firmware, at scale deployment for datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community.   What we need to see: 5+ years of experience in using accelerated computing for datacenter container computing solutions. Strong knowledge of accelerated computing software stacks (CUDA). Experience using and handling modern Cloud and container-based Enterprise computing architectures. C/C++/Python/Bash programming/scripting experience. Experience with CPU architecture. Experience with container technology and Linux based OSes. Experience working with engineering or academic research community supporting high performance computing or deep learning. Strong verbal and written communication skills. Strong teamwork and social skills. Ability to multitask effectively in a dynamic environment. Action driven with strong analytical and analytical skills. Desire to be involved in multiple diverse and creative projects. BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience). MS or PhD desirable.   Ways to stand out from the crowd: Deep Learning framework skills. DL and graph compiling programming skills. Exposure to virtualization techniques, cloud platform solutions. Exposure to scheduling and resource management systems. Experience with high performance or large scale computing environments.