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Principal Software Development Engineer (AI/ML)
United States - California - Livermore
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On-site
·
Full-time
·
3d ago
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 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Working at Abbott:
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:
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Career development with an international company where you can grow the career you dream of.
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Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
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An excellent retirement savings plan with a high employer contribution.
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Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
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A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
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A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
This position works out of Livermore, CA location in the Abbott Heart Failure, Acelis Connected Health business. Our Heart Failure solutions are helping address some of the World’s greatest healthcare challenges.
We are looking for a visionary Principal SDE to lead the development of intelligent, scalable software solutions across mobile, cloud, and data platforms. This role combines deep technical expertise with strategic leadership, driving innovation and operational excellence across the organization.
What You’ll Work On
- Architect Agentic Workflows: Lead the hands-on engineering of autonomous AI agents and RAG systems using Lang Chain to automate complex clinical workflows, moving the Acelis platform from static data to intelligent, agent-driven actions.
- Deploy Multimodal ML Models: Design and ship high-accuracy Predictive ML models for patient risk-stratification and Image Analysis AI to enhance diagnostic speed, utilizing a hybrid of in-house builds and external LLM integrations
- End-to-End Model Ownership: Spearhead the deployment and real-time monitoring of all production models; you are empowered to make direct architectural changes to the ML pipeline to ensure scalability, reliability, and clinical safety
- Architect and deliver high-performance native mobile applications integrated with ML models and cloud services.
- Deep expertise in designing and optimizing scalable, high-performance database architectures, with hands-on experience in both relational and NoSQL systems to support mission-critical applications.
- Demonstrated ability to design and implement AI-driven solutions, leveraging state-of-the-art frameworks to solve complex business problems and enhance user experiences across mobile and cloud platforms.
- Lead ML initiatives using frameworks like Lang Chain, Hugging Face, and Tensor Flow, embedding intelligence into mobile and web platforms.
- Drive operational excellence through automation, monitoring, and continuous improvement of engineering processes.
- Collaborate closely with Directors and VPs to influence technical strategy and make high-impact architectural decisions.
- Mentor and grow software engineers and junior database engineers, fostering a culture of ownership, innovation, and technical rigor.
Required Qualifications
- 10+ years of software development experience across mobile and backend systems.
- 5+ years of experience leading and mentoring engineering core teams.
- Strong understanding of cloud platforms (AWS, Azure, GCP), CI/CD, and DevOps practices.
- Exceptional communication and leadership skills, with the ability to influence senior stakeholders and drive strategic initiatives.
- Build, test, and containerize predictive models using Python and frameworks like Tensor Flow or Py Torch.
- Implement MLOps pipelines to automate training, deployment, and ongoing monitoring.
Preferred Qualifications
- Proven track record in building native mobile apps and architecting complex database systems.
- Expertise in ML model development and deployment using Lang Chain, Hugging Face, or similar frameworks.
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.
The base pay for this position is
$130,700.00 – $261,300.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
HF Heart Failure:
LOCATION:
United States > Livermore : 6465 National Drive
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Not specified
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
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EEO is the Law link
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English: http://webstorage.abbott.com/common/External/EEO_English.pdf
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EEO is the Law link
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Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
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Abbottについて

Abbott
PublicAbbott is a global healthcare company that develops medical devices, diagnostics, branded generic medicines, and nutrition products.
10,001+
従業員数
Abbott Park
本社所在地
$177B
企業価値
レビュー
2.5
5件のレビュー
ワークライフバランス
1.8
報酬
3.2
企業文化
2.0
キャリア
2.3
経営陣
1.5
25%
友人に勧める
良い点
Important medical device work
Supportive hiring process
Decent salary for leadership roles
改善点
Understaffed departments
Management pressure and overwork
Toxic work culture
給与レンジ
758件のデータ
Junior/L3
L3
Junior/L3 · Data Scientist
3件のレポート
$111,000
年収総額
基本給
$92,914
ストック
-
ボーナス
-
$93,000
$166,898
面接体験
3件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
33%
体験
ポジティブ 33%
普通 67%
ネガティブ 0%
面接プロセス
1
Application Review
2
HR Screen
3
Technical Interview
4
Hiring Manager Interview
5
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
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