Senior Staff Engineer Visa Sponsorship Jobs in California
Senior staff engineer visa sponsorship jobs in California are concentrated in the Bay Area, Los Angeles, and San Diego, where companies like Google, Apple, Meta, Salesforce, and Qualcomm regularly hire at this level. These roles sit at the top of the individual contributor track, requiring deep technical expertise and a sponsoring employer willing to support a visa petition.
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INTRODUCTION
We are the people who give possibilities purpose
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.
JOB DESCRIPTION
We are seeking a highly experienced Senior Staff AI/ML Algorithm Engineer to help advance next-generation medical technologies for continuous physiological monitoring, disease detection, and predictive clinical decision support.
In this role, you will develop clinically meaningful algorithms using multi-modal healthcare data, including physiological sensor signals, medical device data, electronic health records, imaging data, and other real-world clinical datasets. You will work in a highly cross-functional environment with algorithm engineers, data scientists, clinicians, systems engineers, software teams, regulatory specialists, and product leaders to translate complex clinical and physiological problems into validated, deployable algorithmic solutions.
This is a senior technical role suited for an engineer with deep expertise in classical machine learning, modern AI/deep learning, physiological signal interpretation, and real-world deployment across both cloud-based platforms and edge medical devices.
KEY RESPONSIBILITIES
- Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring, novel vital sign and physiological parameter development, disease detection and risk stratification and early warning systems.
- Develop algorithms using multi-modal data sources, including physiological waveforms and time-series data such as PPG, blood pressure, capnography and other monitoring signals, bedside and wearable sensor data, electronic health records and structured clinical data, etc.
- Apply advanced analytical approaches, including:
- Classical machine learning models
- Statistical modeling and probabilistic inference
- Time-series modeling
- Signal processing and feature engineering
- Deep learning architectures
- Multimodal AI models
- Transformer-based models and foundation-model approaches where appropriate
- Translate clinical and physiological understanding into robust algorithm design, including feature selection, model architecture, performance targets, and clinically interpretable outputs.
- Build end-to-end algorithm development pipelines for data ingestion, signal quality assessment, annotation, feature extraction, model training, validation, robustness testing, and post-market performance monitoring where applicable.
- Partner with clinical, medical affairs, regulatory, quality, and product teams to ensure algorithms are developed with appropriate clinical context, usability, safety, and regulatory considerations.
- Develop and optimize algorithms for cloud environments and for edge or embedded medical devices, accounting for latency, memory, compute, power, cybersecurity, and reliability constraints.
- Support verification, validation, documentation, risk analysis, and design controls for regulated medical technology products.
- Contribute to intellectual property generation, technical strategy, research roadmaps, and external scientific engagement.
- Mentor engineers and data scientists, provide technical leadership, and help establish best practices for healthcare AI algorithm development.
REQUIRED QUALIFICATIONS
- 10+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
- Master’s or PhD degree preferred in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
- Deep expertise in machine learning and AI model development, including both classical and modern approaches.
- Strong hands-on experience with physiological time-series data, biomedical signals, medical device data, or clinical datasets.
- Solid understanding of human physiology, especially as it relates to patient monitoring, cardiopulmonary function, hemodynamics, respiratory status, neurological monitoring, or acute care settings.
- Demonstrated experience developing algorithms from early feasibility through productization or deployment.
- Experience working with multi-modal healthcare data, such as sensor signals, EHR data, imaging data, lab data, and clinical outcomes.
- Strong programming skills in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent tools.
- Experience with cloud-based algorithm development and deployment using platforms such as Azure, AWS, or GCP.
- Experience optimizing models for deployment on constrained environments, including embedded systems, edge devices, or near-real-time medical technology platforms.
- Strong understanding of model evaluation, including sensitivity, specificity, AUROC, calibration, false alarm burden, clinical utility, robustness, and generalizability.
- Excellent communication skills with the ability to explain complex technical concepts to engineering, clinical, regulatory, and business stakeholders.
PREFERRED QUALIFICATIONS
- Experience developing AI/ML algorithms for regulated medical devices, digital health products, clinical decision support tools, or Software as a Medical Device (SaMD).
- Familiarity with medical device development practices, including design controls, risk management, verification and validation, human factors, clinical performance evaluation, and regulatory documentation.
- Experience with relevant standards and regulatory frameworks such as FDA expectations for AI/ML-enabled medical devices.
- Experience with signal quality assessment, artifact detection, missing-data handling, sensor fusion, uncertainty quantification, and explainable AI.
- Familiarity with MLOps, model lifecycle management, version control, data governance, automated testing, and post-deployment monitoring.
At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
WHY JOIN US?
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
PRIMARY WORK LOCATION
USA CA - Irvine Laguna Canyon
ADDITIONAL LOCATIONS
WORK SHIFT
At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs. You can learn more on our career site under "Our Commitment to You."
Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed.
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
SALARY RANGE INFORMATION
$146,000.00 - $233,600.00 USD Annual
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Senior Staff Engineer Job Roles in California
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Search Senior Staff Engineer Jobs in CaliforniaSenior Staff Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for senior staff engineers in California?
Large technology companies account for the majority of senior staff engineer sponsorships in California. Google, Apple, Meta, Salesforce, Adobe, Nvidia, Qualcomm, and Intuit have consistent histories of filing H-1B visa petitions for senior individual contributor roles. Semiconductor and cloud infrastructure companies in the Bay Area and San Diego are particularly active sponsors at this seniority level.
Which visa types are most common for senior staff engineer roles in California?
The H-1B is the most common visa for senior staff engineers in California, given the role's clear specialty occupation requirements in computer science or a related engineering field. Candidates with extraordinary ability may qualify for the O-1A. Intracompany transfers at equivalent seniority may use the L-1A or L-1B, depending on whether the role involves managerial or specialized knowledge functions.
Which cities in California have the most senior staff engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Mountain View, and Menlo Park, generates the highest concentration of senior staff engineer sponsorship openings in California. Los Angeles is a secondary hub, particularly for companies in fintech, media technology, and aerospace. San Diego is notable for semiconductor and biotech engineering roles at this senior level.
How to find senior staff engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse senior staff engineer roles in California without sorting through positions that don't offer sponsorship. Given how competitive these roles are, focusing your search on employers with documented sponsorship histories in California, as Migrate Mate surfaces, helps target companies where the process is established rather than unfamiliar.
Are there state-specific considerations for senior staff engineers seeking visa sponsorship in California?
California's strong worker protection laws, including restrictions on non-compete agreements, make it attractive for senior engineering talent evaluating long-term career flexibility. At the senior staff level, employers filing H-1B petitions must meet Department of Labor prevailing wage requirements, which reflect California's competitive engineering compensation market. University pipelines from UC Berkeley, Stanford, and UCLA also create strong local employer familiarity with sponsoring senior technical roles.
What is the prevailing wage for sponsored senior staff engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.