Lead and execute complex hardware and software programs, driving end-to-end lifecycle from concept to deployment, ensuring alignment with Zebra’s strategic goals and delivering integrated solutions.
Locations (2)
Holtsville, New York, United States
Lincolnshire, Illinois, United States
Compensation
$138,800.00 - $208,200.00 Annual
Responsibilities
Lead complex programs from concept through development, testing, deployment, and post-launch
Manage program scope, schedule, budget, resources, and risk
Oversee cross-functional teams across engineering, testing, operations, quality, supply chain, marketing, and service
Drive agile methodology and continuous improvement
Lead system integration and deployment of hardware, software, and third-party solutions
Manage a software engineering team developing computer vision and advanced barcode reading algorithms, overseeing architecture, technical practices, and team development.
Compensation
In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 15% of base pay, in accordance with the terms of the applicable incentive plan.
Responsibilities
Manage an advanced algorithm research and software development team
Lead team activities aligned with software project delivery needs
Help develop and establish operational policies within the designated area
Collaborate regularly across key technology areas
Direct resource allocation and project assignments
Requirements
Master’s degree in Computer Science, Applied Mathematics, or an equivalent engineering discipline
Nice to have: Experience working within large/global organizations
The Senior Applications Engineer is responsible for leading the development, validation, and deployment of advanced inspection solutions across Onto Innovation’s inspection product portfolio.
Compensation
Base Salary Range: $115,200.00 - $172,800.00, offered in good faith and based on experience, location, and qualifications.
Responsibilities
Lead development and optimization of advanced inspection recipes for defect detection, classification, process monitoring, and yield improvement applications.
Design customer-focused workflows that demonstrate product differentiation, manufacturing relevance, and business value.
Establish and validate Best Known Methods (BKMs) for global deployment across multiple inspection platforms.
Provide technical leadership and mentorship to junior engineers and cross-functional project teams.
Requirements
Bachelor's degree in Electrical Engineering, Optical Engineering, Materials Science, Physics, Computer Engineering, Chemical Engineering, or a related technical discipline
Master's degree in a relevant engineering or scientific discipline
Ph.D. in Electrical Engineering, Optical Engineering, Materials Science, Physics, Computer Engineering, Chemical Engineering, or a related technical discipline
Lead development, validation, and deployment of advanced inspection solutions across Onto Innovation’s inspection product portfolio.
Compensation
$115,200.00 - $172,800.00
Responsibilities
Lead development and optimization of advanced inspection recipes for defect detection, classification, process monitoring, and yield improvement applications.
Design customer-focused workflows that demonstrate product differentiation, manufacturing relevance, and business value.
Establish and validate Best Known Methods (BKMs) for global deployment across multiple inspection platforms.
Provide technical leadership and mentorship to junior engineers and cross-functional project teams.
Requirements
Bachelor's degree in Electrical Engineering, Optical Engineering, Materials Science, Physics, Computer Engineering, Chemical Engineering, or a related technical discipline
Master's degree in a relevant engineering or scientific discipline
Ph.D. in Electrical Engineering, Optical Engineering, Materials Science, Physics, Computer Engineering, Chemical Engineering, or a related technical discipline
Lead AI Engineer responsible for setting vision, building team, and delivering AI solutions at scale in semiconductor manufacturing.
Responsibilities
Define AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
Partner with tool, process, and applications engineers to map as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes.
Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations that help engineers accelerate tool operation/setup/maintenance and explain trade-offs.
Lead projects across predictive maintenance, computer vision, LLM-based engineering assistants, process optimization, simulation and digital twins.
Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs.
Lead the design, development, and implementation of AI models and algorithms; conduct thorough data analysis; collaborate with cross-functional teams; stay current with industry trends; mentor junior data scientists.
Responsibilities
Lead the design, development, and implementation of AI models and algorithms
Conduct thorough data analysis to uncover valuable insights and trends
Collaborate with cross-functional teams to enhance AI capabilities across the organization
Stay current with industry trends and advancements in AI and machine learning technologies
Mentor junior data scientists and provide guidance on complex data projects
Lead the design, development, and deployment of AI models and algorithms, collaborate with cross‑functional teams, analyze complex data sets, implement and optimize AI solutions, provide technical guidance and mentorship, and stay current with AI trends.
Responsibilities
Lead the design, development, and deployment of AI models and algorithms
Collaborate with cross‑functional teams to define project goals and requirements
Analyze complex data sets to identify trends and patterns using statistical and machine learning approaches
Implement and optimize AI solutions to improve data accuracy, efficiency, and predictive capabilities
Provide technical guidance and mentorship to junior data scientists