POSITION OVERVIEW:
We are seeking a Sr. Fill–Finish Process Engineer with strong experience in aseptic pharmaceutical or biologics manufacturing to support the capital project buildout of a new fill–finish suite within a commercial manufacturing facility. The ideal candidate has hands-on expertise in formulation, sterile filtration, aseptic filling, lyophilization, capping, inspection processes, and associated equipment technologies, along with a strong understanding of GMP operations and regulatory expectations. This position partners closely with operations, QA, validation, MS\&T, engineering, and supply chain to ensure robust, compliant, and continuously improving manufacturing performance.

WORK LOCATION:
Travel to client sites may be required up to 100% based on project phase and client needs.

KEY RESPONSIBILITIES:
(This list is not exhaustive and may be adjusted as needed.)

• Support design, construction, installation, and qualification of a new commercial fill–finish suite, including cleanrooms, process utilities, and supporting infrastructure.
• Contribute to user requirement development, equipment specifications, vendor evaluations, and design reviews.
• Support FAT/SAT, commissioning, and qualification activities for fillers, isolators or RABS, lyophilizers, depyrogenation tunnels, autoclaves, CIP/SIP systems, formulation vessels, sterile filtration skids, and inspection machines.
• Conduct field walkdowns, verify installation details, and ensure alignment with drawings, P\&IDs, and GMP requirements.
• Serve as subject matter expert for fill–finish operations including formulation, filtration, filling, lyophilization, capping, and visual inspection.
• Partner with Operations and MS\&T to troubleshoot and resolve technical issues.
• Collaborate with Maintenance and Reliability teams to address equipment performance gaps.
• Support continuous improvement and process optimization initiatives.
• Partner with QA, Validation, and MS\&T to maintain validated state of aseptic manufacturing processes.
• Ensure alignment with regulatory requirements including FDA, EMA, ICH, and Annex 1.
• Support continued process verification (CPV), annual product review (APR/PQR), and ongoing process monitoring.
• Author, review, and approve GMP documentation, including batch records, SOPs, change controls, CAPAs, deviations, and technical reports.
• Generate and maintain engineering lifecycle documentation including impact assessments, URS/FRS documents, FAT/SAT packages, and turnover packages.
• Develop and execute commissioning and qualification protocols.
• Utilize systems such as building management systems, process control systems, and computerized maintenance management systems. Experience with digital validation platforms such as KNEAT is a plus.
• Ensure all work complies with GMP standards, safety expectations, and regulatory guidelines
• Coordinate across engineering, operations, facilities, quality, and validation to ensure successful project execution.
• Participate in project planning, scheduling, risk assessments, and milestone tracking.
• Provide effective communication to stakeholders at all levels.

QUALIFICATIONS AND REQUIREMENTS:

Education

• Bachelor’s or Master’s degree in Chemical, Mechanical, Biomedical, Pharmaceutical Engineering or a related technical field.

Experience

• Typically 7 or more years of experience in GMP pharmaceutical or biotech manufacturing.
• Strong preference for sterile, aseptic, biologics, or vaccine fill–finish experience.
• Experience supporting commercial manufacturing operations in a regulated environment.
• Experience with commissioning, qualification, and engineering documentation.

Knowledge, Skills, and Abilities

• Strong understanding of aseptic operations, cleanroom environments, and fill–finish equipment.
• Strong documentation and technical writing skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively.

ESSENTIAL FUNCTIONS:

Physical Demands: 

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. 

Work Environment: 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. 

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere.” However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. 

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

POSITION OVERVIEW:
We are seeking a Sr. Fill–Finish Process Engineer with strong experience in aseptic pharmaceutical or biologics manufacturing to support the capital project buildout of a new fill–finish suite within a commercial manufacturing facility. The ideal candidate has hands-on expertise in formulation, sterile filtration, aseptic filling, lyophilization, capping, inspection processes, and associated equipment technologies, along with a strong understanding of GMP operations and regulatory expectations. This position partners closely with operations, QA, validation, MS\&T, engineering, and supply chain to ensure robust, compliant, and continuously improving manufacturing performance.

We are actively seeking qualified candidates to join our talent pipeline for future client engagements.  

WORK LOCATION:
Travel to client sites may be required up to 100% based on project phase and client needs.

KEY RESPONSIBILITIES:
(This list is not exhaustive and may be adjusted as needed.)

• Support design, construction, installation, and qualification of a new commercial fill–finish suite, including cleanrooms, process utilities, and supporting infrastructure.
• Contribute to user requirement development, equipment specifications, vendor evaluations, and design reviews.
• Support FAT/SAT, commissioning, and qualification activities for fillers, isolators or RABS, lyophilizers, depyrogenation tunnels, autoclaves, CIP/SIP systems, formulation vessels, sterile filtration skids, and inspection machines.
• Conduct field walkdowns, verify installation details, and ensure alignment with drawings, P\&IDs, and GMP requirements.
• Serve as subject matter expert for fill–finish operations including formulation, filtration, filling, lyophilization, capping, and visual inspection.
• Partner with Operations and MS\&T to troubleshoot and resolve technical issues.
• Collaborate with Maintenance and Reliability teams to address equipment performance gaps.
• Support continuous improvement and process optimization initiatives.
• Partner with QA, Validation, and MS\&T to maintain validated state of aseptic manufacturing processes.
• Ensure alignment with regulatory requirements including FDA, EMA, ICH, and Annex 1.
• Support continued process verification (CPV), annual product review (APR/PQR), and ongoing process monitoring.
• Author, review, and approve GMP documentation, including batch records, SOPs, change controls, CAPAs, deviations, and technical reports.
• Generate and maintain engineering lifecycle documentation including impact assessments, URS/FRS documents, FAT/SAT packages, and turnover packages.
• Develop and execute commissioning and qualification protocols.
• Utilize systems such as building management systems, process control systems, and computerized maintenance management systems. Experience with digital validation platforms such as KNEAT is a plus.
• Ensure all work complies with GMP standards, safety expectations, and regulatory guidelines
• Coordinate across engineering, operations, facilities, quality, and validation to ensure successful project execution.
• Participate in project planning, scheduling, risk assessments, and milestone tracking.
• Provide effective communication to stakeholders at all levels.

QUALIFICATIONS AND REQUIREMENTS:

Education

• Bachelor’s or Master’s degree in Chemical, Mechanical, Biomedical, Pharmaceutical Engineering or a related technical field.

Experience

• Typically 7 or more years of experience in GMP pharmaceutical or biotech manufacturing.
• Strong preference for sterile, aseptic, biologics, or vaccine fill–finish experience.
• Experience supporting commercial manufacturing operations in a regulated environment.
• Experience with commissioning, qualification, and engineering documentation.

Knowledge, Skills, and Abilities

• Strong understanding of aseptic operations, cleanroom environments, and fill–finish equipment.
• Strong documentation and technical writing skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively.

ESSENTIAL FUNCTIONS:

Physical Demands: 

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. 

Work Environment: 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. 

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere.” However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. 

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in agentic AI methods for biological and clinical data curation and analysis.

In this role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will collaborate with biomedical research experts as well as other machine learning scientists and engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem, focusing on designing and building state-of-the-art agentic AI systems and workflows that tackle biological questions, accelerate clinical data analysis, and aid in the discovery of novel interventions for aging and disease.

The successful candidate will combine deep expertise in agentic AI methods with a strong foundation in bioinformatics and/or clinical R&D. You will work closely with domain experts to translate complex biological and clinical data challenges into intelligent, automated solutions. You will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Design and develop agentic AI workflows for biological and clinical data curation tasks
• Research and implement advanced context engineering techniques (RAG, agentic RAG, graph RAG) tailored to biomedical data
• Develop and optimize prompts and agent architectures for reliability, accuracy, and scientific rigor
• Build LLM-based tool-use systems and integrations relevant to bioinformatics and clinical R&D pipelines
• Collaborate with bioinformatics scientists, clinical researchers, and domain experts to identify automation opportunities and translate them into agentic solutions
• Evaluate and benchmark agentic systems, establishing rigorous metrics for performance and correctness in scientific contexts
• Stay current with the rapidly evolving landscape of agentic AI methods and contribute to internal best practices

Who You Are 

• Proven track record leveraging machine learning and AI to solve real-world problems
• Expertise in agentic AI methods development, including prompt optimization, LLM-based tool use, context engineering (RAG, agentic RAG, graph RAG), and agent evaluation
• Experience writing production-quality code with agentic frameworks (e.g., LangGraph, Pydantic-AI, DSPy, or similar)
• Deep familiarity with bioinformatics and/or clinical R&D, with the ability to engage meaningfully with domain experts on biological and clinical questions
• Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor) to iterate rapidly
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focused on professional growth
• Able to advise others across the wider function / company on cutting edge agentic AI practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, machine learning, and medicine
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Bioinformatics, or a related field
• Demonstrated experience developing agentic AI systems, including LLM-based tool use, prompt engineering, and context engineering techniques
• Strong foundation in machine learning principles and their application to real-world problems
• Strong background in bioinformatics, computational biology, or clinical R&D
• Familiarity with MCP server development and agent skill creation
• Very strong programming skills in Python, with experience writing production-quality, well-documented code
• Strong track record of published peer-reviewed research in AI/ML and/or computational biology

Preferred Qualifications

• Experience with AWS services (S3, Bedrock, Lambda) in the context of AI/ML workflows
• Experience with clinical trial data, regulatory data curation, or biomedical ontologies (e.g., CDISC, SNOMED, MedDRA)
• Track record working with NGS data (e.g., RNA-seq, ATAC-seq, DNA methylation) or other biological data modalities
• Experience designing evaluation frameworks and benchmarks for agentic AI systems
• Familiarity with knowledge graph construction and graph-based retrieval methods

The salary range for Redwood City:

• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego:

• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology. You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.

By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains. You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.

Responsibilities

• Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
• Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
• Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
• Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

Who You Are

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications

• Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
• Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).
• Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
• Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
• Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Preferred Qualifications

• Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
• Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
• Experience handling the unique noise and sparsity of biological data.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.

What you will do: 

• Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
• Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
• Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes

• Develop and maintain internal signal evaluation tools and libraries to help Oura’s hardware and firmware teams optimize current and next-generation products

• Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
• Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)
• Coordinate with cross-functional teams and overseas stakeholders

Requirements

We would love to have you on our team if you have:

• PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field
• 3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc)
• Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc) 
• Experience with biosignal sensing and wearable hardware (including hardware prototypes) is a plus
• A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
• Flexible schedule and good asynchronous communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week)
• This role is based in San Diego, with at least three days in office (at our Carmel Mountain location).

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 2: $158,950 - $187,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped over one million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 

We are looking for a Manager, Algorithms to lead a team creating new health sensing algorithms that power future Oura experiences. You’ll set direction, build strong execution habits, and partner across hardware, firmware, and product to deliver algorithms that are accurate, resilient, and ready for real-world use.

This is a hybrid role based in San Diego, CA, requiring at least three days in office (at our Carmel Mountain location) per week.

What you will do: 

• Lead and grow a team of algorithm scientists advancing Oura’s next generation health sensing capabilities: setting direction, coaching, and ensuring strong delivery and technical quality
• Drive algorithm strategy and execution for new sensing programs: translate product and program needs into clear technical goals, milestones, and success metrics
• Own end-to-end algorithm development from early feasibility and prototype evaluation through feature-ready performance
• Partner deeply with hardware and firmware teams to shape sensing requirements, understand constraints, and influence design decisions to improve real-world algorithm performance
• Coordinate cross-functionally with product, program management and other stakeholders to align priorities, manage dependencies, and communicate progress, risks, and tradeoffs
• Maintain technical depth as a leader: review methods and results, unblock complex problems, and uphold strong engineering/scientific standards, while enabling the team to own implementation details
• Scale team leverage by improving processes and infrastructure (reusable analysis pipelines, evaluation frameworks, documentation, etc)

Requirements

We would love to have you on our team if you have:

• PhD in biomedical engineering, electrical engineering, neural engineering, biostatistics, computer science or related field; or MS with significant relevant industry experience
• Demonstrated people leadership experience managing and developing technical teams (scientists/engineers/data scientists), including hiring, coaching, performance management, and team execution
• 5+ years of experience developing and productizing algorithms in a cross-functional environment, ideally involving sensor time-series data
• Solid foundation in time-series/signal processing and statistical evaluation, with the ability to guide technical choices and ensure rigor (filtering, artifact handling, modeling approaches, performance characterization, etc)
• Experience collaborating with hardware/firmware partners on prototype-to-product development; comfort operating with real-world constraints and imperfect early data
• Strong programming fluency in Python, plus modern collaboration practices (git, code review, testing, reproducibility)
• Excellent communication and stakeholder management skills: you can align globally distributed teams, make tradeoffs clear, and drive decisions with crisp narratives
• A pragmatic, delivery-focused mindset: you prioritize effectively, build team leverage, and create clarity in ambiguity
• Flexible schedule and strong async communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week)

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• San Diego area $173,000- $200,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

We are looking for a Health Sensing Hardware Engineer to join our hardware team working on future wearables and accessory devices reporting directly to the Director, Hardware Sensing Technologies.  This opportunity will be hybrid out of our San Francisco or San Diego office.

What you will do: 

• Develop and validate physiological sensing systems for acquiring and analyzing physiological signals in wearable health and wellness products
• Define hardware and software technical specifications and implement test and calibration protocols both internally and at manufacturer sites
• Ensure that the physiological sensors integrated in our products meet their specifications from prototype to mass production
• Build and validate hardware architectures optimized for low-noise, high-resolution time-series signal collection
• Plan and execute benchtop and on-body testing to evaluate system performance across various user populations
• Support validation and compliance efforts in collaboration with regulatory, research, and clinical teams
• Work cross-functionally to ensure end-to-end system performance and signal integrity
• Conduct rigorous testing and troubleshooting to ensure sensor performance across varying environmental and use-case conditions
• Collaborate closely with mechanical and electrical engineers to integrate sensors within constrained form factors and flexible layouts
• Partner with firmware and software teams to enable and refine features built on physiological data
• Work directly with sensor vendors to evaluate new components, optimize performance, and address integration challenges
• Travel occasionally to Finland and to global manufacturing or development sites as required (15%–20%) 

Requirements:

We would love to have you on our team, if you have:

Technical Expertise 

• Strong electrical engineering background and experience with the design and testing of low-noise analog or mixed-signal systems
• Strong understanding of time-series physiological signal acquisition, including best practices for minimizing noise and motion artifacts
• Familiarity with algorithmic methods for time-series signal modeling and calculating physiological metrics
• Simulation and modeling experience using tools like ANSYS, CST, or COMSOL
• Skilled in embedded software and data acquisition tools such as C/C++, Python, or similar
• Experience with data analysis and signal processing tools such as Python, MATLAB, or JMP

Problem Solving and Analytical Thinking

• Strong experimental and analytical skills with a methodical approach to isolating and debugging complex issues across hardware and algorithm domains
• Ability to work independently through ambiguity and rapidly iterate on early-stage concepts
• Driven by data and eager to understand root causes behind performance issues

Communication and Collaboration

• Effective communicator across disciplines, with the ability to clearly convey technical insights both in written and verbal form to technical and non-technical audiences
• Experience working in cross-functional teams spanning hardware, firmware, product, and research
• Contributed to project documentation, planning, and alignment with stakeholders

Educational Background

• Bachelor’s degree in electrical engineering, mechanical engineering, biomedical engineering, physics,or related field with 7+ years of relevant industry experience
• Master’s degree with 5+ years, or PhD with 2+ years of relevant industry experience

Prototyping and Testing

• Hands-on experience building and characterizing early-stage hardware systems
• Proficiency using various lab instrumentation tools such as digital multimeters, oscilloscopes, signal generators, spectrum analyzers, physiological simulators, power analyzers, and environmental chambers

Bonus Points:

• Experience developing or integrating physiological sensing systems into wearable or health-oriented products
• Track record of supporting high volume products from early prototyping through manufacturing and launch
• Knowledge of regulatory or safety standards for health-related technologies
• Prior work in validation studies or performance benchmarking across diverse populations

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own + employee discounts for friends & family
• Fertility benefits through Carrot Pro
• Flexible working hours and remote working arrangements
• $750 Learning & Development credit
• 20 days of PTO + 13 paid holidays + 8 days of flexible wellness time off
• 5 days paid sick leave, 5 days bereavement leave, 12 weeks paid parental leave
• Amazing culture of collaborative and passionate coworkers

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates’ pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 Range (SF): $217,000 - $267,950
• Region 2 Range (SD): $197,000 - $243,800

A recruiter can determine your zones/tiers based on your US location.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees or any other organization location. Oura is not responsible for any fees related to unsolicited resumes.

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.