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Senior Development Engineer - Job Opportunity at Seagate Technology

Singapore, Singapore
Full-time
Senior
Posted: August 17, 2025
On-site
Based on Singapore's technology market and Seagate's position as a global storage leader, this senior-level manufacturing engineering role likely offers compensation in the range of SGD 85,000 to SGD 120,000 annually, with potential for performance bonuses and stock options. The international travel component and cross-site collaboration responsibilities may provide additional compensation premiums, while the specialized nature of storage media manufacturing and AI/ML focus commands premium positioning within the broader engineering salary spectrum.

Key Responsibilities

Lead failure analysis and development of Python process scripts that directly impact manufacturing efficiency and product quality in media production
Collect and analyze parametric data from production and developmental systems using advanced analytical tools to drive data-driven decision making
Spearhead the development of AI/ML ecosystem initiatives that enhance yield optimization and throughput improvements across media production operations
Architect and develop scalable Python software applications in collaboration with cross-functional engineering teams spanning multiple geographic locations
Design and implement sophisticated Python/Jupyter/Rust tools that streamline manufacturing processes and enable advanced data analytics capabilities

Requirements

Education

Bachelors degree in Computer Science or Electrical Engineering

Experience

At least 5 years of experience in Computer Science or Electrical Engineering

Required Skills

Strong familiarity with Python, Jupyter Strong familiarity with software development IDE's (VScode preferred) Strong familiarity with Github and standard software development practices Strong analytical skills using Excel, JMP, Matlab or equivalent Ability to support after hour calls Ability to travel internationally up to 5% Motivated, self-starter capable of working issues independently, willing to adapt and learn in a fast-paced, rapidly changing environment
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Sauge AI Market Intelligence

Industry Trends

The data storage industry is experiencing unprecedented demand driven by cloud computing expansion, edge computing proliferation, and the exponential growth of data generation from IoT devices and AI applications. This surge has intensified the need for advanced manufacturing optimization and yield improvement initiatives, making roles focused on production efficiency and AI/ML implementation critically important for maintaining competitive advantage in the storage media sector. Manufacturing operations are increasingly adopting Industry 4.0 principles, with heavy emphasis on predictive analytics, automated quality control, and real-time process optimization. The integration of AI/ML algorithms into traditional manufacturing processes has become a strategic imperative, particularly in precision manufacturing environments like semiconductor and storage media production where yield optimization directly translates to significant cost savings and improved product reliability. The convergence of Python-based data science tools with manufacturing execution systems represents a major technological shift in industrial operations. Organizations are investing heavily in cross-functional engineers who can bridge the gap between traditional manufacturing engineering and modern data analytics, creating substantial career opportunities for professionals with combined hardware understanding and software development expertise.

Role Significance

Typically operates within a matrix structure involving 8-12 direct engineering collaborators across software and process engineering disciplines, with extended interaction networks spanning manufacturing operations, quality assurance, and data science teams. The international scope suggests coordination with 15-25 professionals across Singapore and US locations, requiring strong project management and communication capabilities.
This senior-level position represents a strategic technical leadership role within Seagate's manufacturing operations, combining deep technical expertise with cross-functional collaboration responsibilities. The role's focus on AI/ML ecosystem development and international team coordination indicates significant influence on manufacturing strategy and technology roadmap decisions, positioning the incumbent as a key contributor to operational excellence and innovation initiatives.

Key Projects

Implementation of predictive maintenance systems using machine learning algorithms to optimize equipment uptime and reduce unplanned downtime in media manufacturing operations Development of real-time yield optimization platforms that integrate parametric data analysis with production control systems to maximize throughput and minimize defect rates Creation of automated failure analysis workflows that accelerate root cause identification and resolution, reducing time-to-market for new storage media products

Success Factors

Demonstrated ability to translate complex manufacturing challenges into scalable software solutions that deliver measurable improvements in yield, throughput, and quality metrics Strong cross-cultural communication and collaboration skills essential for effective coordination between geographically distributed engineering teams and stakeholders Advanced proficiency in data analytics and statistical analysis methodologies, with particular emphasis on applying machine learning techniques to manufacturing process optimization Proven track record of delivering robust, production-ready software solutions in mission-critical manufacturing environments where system reliability directly impacts business operations

Market Demand

High demand driven by critical manufacturing optimization needs and AI/ML integration requirements in precision manufacturing environments

Important Skills

Critical Skills

Python programming expertise is fundamental to this role's success, as it serves as the primary development platform for process automation, data analysis workflows, and AI/ML algorithm implementation. Mastery of Python's scientific computing ecosystem, including libraries for data manipulation, statistical analysis, and machine learning, directly enables the advanced analytics and process optimization capabilities that drive manufacturing efficiency improvements. Data analysis proficiency using tools like JMP, Jupyter, and statistical software packages is essential for extracting actionable insights from complex manufacturing datasets. The ability to identify patterns, correlations, and anomalies in production data directly translates to improved yield rates, reduced defect levels, and optimized process parameters that significantly impact business outcomes. Software development best practices, including version control with Git, collaborative development methodologies, and code quality standards, are critical for delivering reliable, maintainable solutions in production manufacturing environments where system failures can result in significant operational disruptions and financial impact.

Beneficial Skills

Experience with ASIC design and hardware-software integration provides valuable context for understanding the intricate relationships between storage media physical properties and manufacturing process parameters, enabling more effective optimization strategies Servo control system knowledge offers deep insights into the precision control mechanisms essential for storage device performance, creating opportunities to develop more sophisticated manufacturing test and calibration procedures Rust programming language proficiency represents an emerging trend in systems programming for performance-critical applications, positioning professionals for advanced roles in next-generation manufacturing system development and high-performance computing applications

Unique Aspects

The role offers exceptional exposure to cutting-edge storage media manufacturing technologies and processes that are critical to global data infrastructure, providing unique insights into precision manufacturing at scale that few other industries can match
Cross-continental collaboration opportunities with engineering teams in both established and emerging technology markets, offering valuable international experience and diverse technical perspectives
Direct involvement in AI/ML implementation within manufacturing environments, positioning the role at the intersection of traditional industrial engineering and emerging data science applications
Access to Seagate's extensive research and development resources and advanced manufacturing facilities, providing opportunities to work with state-of-the-art equipment and pioneering storage technologies

Career Growth

Typical progression to principal-level individual contributor roles occurs within 3-4 years, while transition to management positions generally requires 4-6 years of demonstrated technical leadership and successful project delivery

Potential Next Roles

Principal Manufacturing Engineer with expanded responsibility for strategic technology roadmap development and advanced manufacturing research initiatives Engineering Manager overseeing multiple cross-functional teams focused on manufacturing technology innovation and operational excellence programs Director of Manufacturing Technology responsible for enterprise-wide manufacturing systems architecture and digital transformation initiatives

Company Overview

Seagate Technology

Seagate Technology stands as one of the world's leading data storage technology companies, with over four decades of innovation in magnetic storage solutions and a global manufacturing footprint spanning multiple continents. The company's commitment to research and development, combined with its substantial investment in next-generation storage technologies including heat-assisted magnetic recording (HAMR) and multi-actuator drives, positions it at the forefront of addressing the world's ever-expanding data storage needs.

Seagate maintains a dominant position in the global hard disk drive market, competing directly with Western Digital and emerging solid-state storage providers. The company's strong presence in enterprise storage solutions, combined with its expanding portfolio of data management and cloud storage services, reinforces its strategic importance in the evolving data infrastructure landscape.
The Singapore operations represent a critical component of Seagate's Asia-Pacific manufacturing and engineering strategy, serving as a key hub for storage media production and advanced manufacturing technology development. This location provides access to a highly skilled technical workforce and serves as a strategic base for supporting the company's significant presence in Asian markets and customer relationships.
Seagate's engineering culture emphasizes innovation, technical excellence, and collaborative problem-solving across global teams. The company's focus on manufacturing excellence and continuous improvement creates an environment where engineers are encouraged to pursue breakthrough solutions and advance their technical expertise while contributing to products that enable global digital transformation.
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