Jobs / United States / Abbott Laboratories

Abbott Laboratories

Development Quality Engineer I

United States - California - Sylmar Posted today

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Skills this job asks for

Machine learningStatisticsBudgetingComplianceProject management

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 73 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Abbott Laboratories paid sponsored hires in similar roles2 certified filings for “Quality Engineer” (Industrial Engineers) in AZ: $85k–$145k, median $115k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 73 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Abbott Laboratories paid sponsored hires in similar roles
2 certified filings for “Quality Engineer” (Industrial Engineers) in AZ: $85k–$145k, median $115k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: A healthy heart is essential to good health. That's why we're committed to advancing treatments for people with cardiovascular disease. As a global leader in Cardiac Rhythm Technologies, our breakthrough medical technologies help restore people's health so they can get back to living their best lives, faster. We focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats.   “We are seeking an experienced, high caliber Data Scientist, I for our Sylmar, CA . Responsible for ensuring the requirements for Device/Combination Products through the execution of Abbott standard operating procedure and Product Lifecycle Management.   WHAT YOU’LL DO • Particularly skilled in quantitative analysis and data management • Utilize technologies to collect, clean, analyze, predict, and effectively communicate information • Able to examine and interpret relevant data to quickly develop an analysis plan that will answer key business questions and create value for the organization. • Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization • Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to site and executive management. • Ability to work with cross-functional teams to devise test methodologies to ensure validity of the data models being presented. • Work closely with the business to understand the domain and iteratively refine analyses • Identifies opportunities to improve the efficiency and effectiveness of the systems and process being examined (process improvement/reengineering projects). • Identify and implement continuous improvement opportunities throughout the data lifecycle. • Act as Subject Matter Expert in cross functional team meetings as well as internal and external audits. • Ensure compliance with associated regulations, standards, and site procedures. • May demonstrate basic project management skills by acting as a project lead on small, well defined project. Influence exerted at peer level and occasionally at first levels of management. Qualifications Bachelors Degree (± 16 years) Engineering, Life Sciences, or Physical Sciences OR an equivalent combination of education and work experience Experience: • Minimum 1 year • 1-2 years experience in pacing industry. Quality experience desired. Must have demonstrated written and verbal communication, interpersonal, presentation, analytical, organizational skills, and the ability to meet deadlines. • Must be able to work effectively with engineers, technical specialists, vendors, and customers to achieve assigned goals; must be capable of coordinating multiple assignments simultaneously and effectively. • Must possess demonstrated personal computer skills (experience with Microsoft Office or equivalent required) in graphics, word-processing, databases, authoring programs, etc., to develop presentation materials. • Experience working in a broader enterprise/cross-division business unit model preferred. • Ability to work in a highly matrixed and geographically diverse business environment. • Ability to work within a team and as an individual contributor in a fast-paced, changing environment. • Ability to leverage and/or

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