STAFF PDE(高速连接器/线束)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

STAFF PDE(高速连接器/线束) Job Country China At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Broad role for defining project activity with a specific field of expertise, in addition to full responsibility for their own assigned projects. Job Requirements Job Overview Join our Product Development team as a Staff Data Scientist Engineer. You will lead data-driven initiatives, applying advanced analytics to solve complex engineering challenges and influence the design of cutting-edge high-speed connectivity products. By collaborating with cross-functional teams, you will transform data into actionable insights that drive critical design decisions and enhance product performance. Key Responsibilities Translate engineering challenges into analytical problems and solve them using advanced methods (e.g., physics-based modeling, DOE, statistics, simulation). Acquire, clean, and analyze large, multi-source datasets to identify trends and inform product/process design. Develop custom algorithms for mechanical/signal integrity modeling and early-stage product validation. Build tools and processes for efficient data collection, enabling traceability and large-scale correlation analysis. Clearly present data-driven findings and complex results to diverse stakeholders and cross-functional teams. Support reliability testing, troubleshooting, and technical customer requests. Embed best practices to reduce costs and i

Read the full description at careers.te.com. FewerJobs shows a preview and links to the original posting.