Staff Mechanical Design Engineer, EPC 

Redwood Materials is hiring for a Staff Mechanical Design Engineer to join our Engineering, Procurement, and Construction team. This role is at the center of our activities focused on creating a sustainable circular economy for lithium-ion batteries by transforming recycled materials into battery materials for new lithium-ion battery production. 

Responsibilities will include: 

• Serve as Mechanical Engineer of Record on projects (Hazardous occupancy, clean and dry spaces, chemical process / industrial plants), responsible for mechanical / plumbing deliverables (specifications, calculations, permit / construction documents). 
• Design ownership for a wide range of mechanical and plumbing systems including, but not limited to: industrial/non-potable water, HVAC systems (labs, offices, industrial plants), process heating / cooling systems humidifiers, dehumidifiers, abatement systems (dust collectors, scrubbers), cooling towers, fans/pumps, plumbing, etc. 
• Review conceptual designs from developing Engineers and identify technical and financial risks. 
• Responsible for designing/reviewing mechanical engineering deliverables with respect to code compliance and ensuring design maintains the highest level of quality. 
• Develop and improve project workflows and standards to ensure each design is consistently excellent. 
• Participate in on-field construction and commissioning activities by serving as the point of contact for technical questions and real-time issue resolution. 
• Multi-discipline collaboration on the development of equipment general arrangements, P&IDs, isometrics, tie-in lists and material takeoffs. 
• Travel to project site and meetings as needed. 

Desired Qualifications: 

• Bachelor’s Degree in Mechanical Engineering or an equivalent discipline. 
• Licensed Professional Engineer with NCEES record with ability to apply for NV and SC 
• 7+ years of work experience in HVAC and Plumbing/FP design. 
• Expert familiarity with ICC including International Energy Conservation, Mechanical, Plumbing and Fire Protection Codes, NFPA standards, SMACNA duct construction standards, ACGIH Ventilation Practices and ASHRAE 
• Working knowledge of designing the following equipment types: condenser fluid heat rejection systems, chillers, boilers, air handling units, air and water source heat pumps, dust collectors, humidifiers, dehumidifiers, fans, and pumps. 
• Working knowledge or experience with the following is preferred: Abatement systems (thermal oxidizers, dry and wet scrubbers), Heat Exchangers (shell/tube, plate/frame, brazed fin), Control Valves and Instrumentation, and Heat Recovery Systems. 
• Working knowledge of writing sequences of operation for HVAC and chilled water systems. 
• Ability to specify ductwork material and size for various ducted exhaust systems and pressure classes. 
• Ability to specify pipe material and size for various thermal hydronic systems. 
• Ability to create or edit construction specifications covering mechanical, process piping and plumbing systems. 
• Proficient in the use of Revit and AutoCAD. Experience sourcing and specifying mechanical equipment and executing RFP process. 
• Strong experience with engineering software packages: Pipe-Flo (or other hydraulic modeling application), Caesar II, AspenTech applications and/or Applied Flow Technology applications, Carrier HAP, Trane Trace, Navisworks, Bluebeam. 

We are seeking a visionary and technically strong Staff Materials Engineer to lead the development and advancement of material technologies that are core to the Oura product experience. This role will focus on driving innovation and execution across metal surface treatments, PVD/CVD, platings and other novel inorganic coating materials - ensuring performance, reliability, and premium user experience across current and future hardware platforms.

What You’ll Do:

• Manage a roadmap for materials engineering across metal surface treatments, PVD/CVD, platings and emerging technologies.
• Drive R&D and materials selection efforts for current and next-generation products, balancing form factor, performance, biocompatibility, manufacturability, and sustainability.
• Establish and optimize material and bonding processes for high-volume manufacturing.
• Partner with PD, ID, and Ops teams to understand needs and integrate materials solutions early in the product development lifecycle.
• Define standardized materials testing and coupons to characterize new and existing materials within the area of expertise.
• Work with external vendors and strategic partners to evaluate new materials and coatings, qualify processes, and ensure scalability and reliability.
• Define and oversee materials validation, characterization, and reliability testing methodologies.
• Collaborate closely with Reliability and Regulatory teams to ensure material compliance and performance in real-world use conditions.
• Identify and mitigate material risks across the product lifecycle, from prototype to production and field usage.

What We’re Looking For:

• Bachelor's degree in Materials Science, Chemical Engineering, Mechanical Engineering, or a related field. 
• 10+ years of experience in materials engineering of PVD/CVD and metal surface treatments
• Proven experience developing materials and processes for consumer electronics, medical devices, or wearables.
• Strong background in materials characterization, surface chemistry, and process development.
• Strong global connections and experience working with contract manufacturers and materials suppliers across Asia and globally.
  
  

Nice to Have:

• Advanced degree (MS/PhD) in Materials Science, Chemical Engineering, Mechanical Engineering, or a related field.
• Experience with biocompatibility and regulatory requirements for skin-contact products.
• Background in sustainability-focused material development.

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 1: $198,050 - $267,950

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 regard 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.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

• Our jobs are listed only on the ŌURA Careers page and trusted job boards.
• We will never ask for personal information like ID or payment for equipment upfront.
• Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a Senior Data Engineer to join our highly collaborative Engineering team as the founding member of the Drug Discovery Data Engineering group. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized, and comfortable working on complex data, software, and scientific problems.

In this position, you will act as a technical bridge between our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences groups. You will drive projects from requirements-gathering to production deployment, engineering high-performance data systems that integrate with our molecular databases (CDD Vault), inventory systems (Mosaic), electronic lab notebooks (Benchling), our internal data warehouse (BigQuery), and our internally developed AI platform. As the first hire on this team, you will play a pivotal role in defining data flows, building web applications for stakeholder review, and establishing the engineering culture for this important growth area.

Position Responsibilities:

• End-to-End Project Ownership: Collaborating with scientists in Assay Technology, Medicinal Chemistry, and Protein Sciences to gather requirements, architect solutions, and deploy production-grade software that facilitates data movement and analysis
• System Integration: Designing and implementing robust integrations between internal pipelines and third-party platforms, specifically the CDD molecular database, Mosaic inventory systems, and Benchling ELN
• Data Flow Architecture: Defining and optimizing data flows across the organization (e.g., ensuring seamless data handover from Machine Learning -> Protein Sciences -> Assay Technologies) to accelerate the drug discovery feedback loop
• Full-Stack Tool Development: Developing data systems and internal web applications (using React and Python) that allow stakeholders to review, visualize, and communicate complex scientific data
• Mentorship & Leadership: Serving as a senior technical voice within a larger Engineering team; providing mentorship to junior engineers across Calico and helping onboard future hires into the Drug Discovery Data Engineering team
• Engineering Excellence: Championing best practices for infrastructure-as-code, CI/CD, and containerization while helping to set standards for data engineering at Calico

Position Requirements:

• BS/MS/PhD in Computer Science, Data Science, or a related technical field, or equivalent practical experience
• 5+ years of professional software or data engineering experience on the small molecule and antibody informatics side of pharmaceutical R&D
• Proficiency in applying laboratory informatics systems such as CDD Vault, Titian Mosaic, and Benchling to the drug discovery process
• Fluency in Python with a strong grasp of software and data engineering principles (testing, modularity, design patterns, data modeling)
• Demonstrated experience developing and deploying cloud-based applications on Google Cloud Platform (GCP) (preferred), AWS, or Azure
• Strong experience with modern web frameworks and infrastructure, specifically FastAPI, React, Kubernetes, and Terraform
• Proven ability to lead complex projects involving diverse stakeholders (e.g. both bench scientists and Machine Learning engineers) from concept to production
• Experience enforcing robust data governance policies and compliance with internal information security standards and best practices
• Must be willing to work onsite at least four days per week

Nice to Have:

• Experience working with large-scale biological or chemical datasets, including chemical and biological ontologies
• Prior experience managing external partnerships and vendors in the informatics space
• Experience with system administration of informatics platforms, including setting information security standards and negotiation of software contracts

The estimated base salary range for this role is $217,000 - $229,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Senior GNC Controls Engineer

As a Controls Engineer on the GNC team, you will own control algorithms from design through to operation in orbit, and you will develop tooling to analyze and tune our existing controllers.

Role

• Design, implement, and test closed-loop control algorithms for precise pointing, station-keeping, detumble, and desaturation maneuvers for satellites in orbit
• Develop and maintain high-fidelity satellite simulations to validate GNC control algorithms prior to flight 
• Validate and verify algorithm performance through software simulation, Monte Carlo analysis, hardware in the loop, and on-orbit testing
• Perform stability analysis in both time and frequency domains, including gain tuning, margin assessment, and notch filter design for structural flex modes 
• Support system identification efforts using in-orbit telemetry to refine onboard models and improve controller performance 
• Ability to effectively collaborate with interdisciplinary teams on large projects
• Develop operational procedures and provide mission planning support
• Support GNC operations for our fleet of satellites, including on-console and on-call rotations
• Support in recruiting, interviewing, and hiring additional teammates to our rapidly growing team

Requirements

• B.S. or higher in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related technical discipline
• 5+ years of industry experience in GNC, controls, or a closely adjacent discipline
• Strong fundamentals in classical and modern control theory, including frequency-domain analysis (Bode plots, Nyquist, gain/phase margins)
• Experience designing and implementing closed-loop control systems for dynamic systems
• Experience with gain optimization, linearization, and controls tooling development
• Demonstrated experience modeling flexible body dynamics and mitigating their effects through system design and control systems
• Proficiency in Python for algorithm development and simulation
• Experience with modern C++ for on-board software
• Strong problem-solving skills and attention to detail
• Strong written and verbal communication skills and ability to work in a fast-paced, iterative environment
• US Citizenship or Green Card
• Don't meet them all? Not a problem. Please apply even if you do not meet all these criteria

Bonus

• Direct experience with spacecraft attitude control systems (reaction wheels, thrusters, gimbals) 
• Understanding of orbital mechanics and geostationary stationkeeping strategies
• Familiarity with electric or chemical propulsion-based control (e.g., stationkeeping, momentum management maneuvers) 
• Background in estimation theory or Kalman filtering for attitude/orbit determination
• Hands-on experience with hardware-in-the-loop testing or real-time simulation environments
• Experience supporting live satellite operations or anomaly resolution 
• Experience with AI tooling and agentic workflows

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), ML engineers build and operate the systems that turn generative models and reasoning frameworks into production capabilities powering automated scientific discovery across Lila's life science domains.

We are seeking a Principal ML Engineer to design, build, and scale the ML infrastructure behind models spanning biological sequence design, molecular structure prediction, antibody engineering, and multimodal scientific reasoning. You will own critical systems end to end, from training pipelines and distributed compute to model deployment and integration into Lila's closed-loop discovery engine.

This is a high-impact IC role for someone who operates at the intersection of ML systems engineering and life science applications. You will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational-experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities.

What You'll Be Building

• Design, build, and optimize large-scale training pipelines for generative models on biological and chemical data, including distributed training across GPU clusters
• Own production ML systems end to end: model deployment, serving infrastructure, monitoring, and reliability for models used in Lila's scientific workflows
• Architect ML infrastructure that supports rapid iteration across sequence design, structure prediction, and multimodal scientific reasoning workloads
• Drive the engineering side of Lila's "Lab-in-the-Loop" lifecycle: build pipeline models, integrate experimental feedback loops, and ensure model outputs are actionable for downstream scientific workflows
• Define and advance ML engineering standards, tooling, and best practices across the AI organization
• Collaborate with AI scientists to translate research prototypes into robust, scalable production systems, bridging the research-to-deployment gap

What You’ll Need to Succeed

• Master's degree or higher in Computer Science, Machine Learning, or a related quantitative field (or Bachelor's with equivalent professional experience)
• 10+ years of hands-on experience building and operating production ML systems at scale
• Deep expertise in distributed training infrastructure, including experience with large-scale GPU clusters (AWS, GCP, or on-prem)
• Strong software engineering fundamentals: system design, production-grade code, CI/CD, observability, and reliability practices
• Proficiency in ML frameworks (PyTorch, JAX, or TensorFlow) with experience optimizing training and inference performance
• Demonstrated ability to drive technical direction for ML infrastructure independently, from architecture through implementation
• Track record of cross-functional collaboration with research scientists, translating between ML methodology and engineering execution

Bonus Points For

• Experience building training or inference infrastructure for generative models applied to biological sequences, molecular structures, or scientific data
• Experience with agentic frameworks, active learning loops, or closed-loop experimental workflows
• Contributions to open-source ML tools, frameworks, or infrastructure projects
• Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, or nucleic acid design)
• Experience with model evaluation frameworks for scientific applications where ground truth is sparse or delayed

Company Overview

Nitricity is a startup addressing climate change, and we are looking for your help! We are innovating in an essential chemical industry that supports global food systems. The bedrock of modern agriculture is the production, distribution, and application of the essential nutrients found in fertilizers. However, nitrogen fertilizer is currently made in coal- and gas-fired facilities located hundreds to thousands of miles away from farmers who need it. The $120B industry is responsible for as much as 6% of global CO2eq emissions. Nitricity Inc. has developed a new technology that produces fertilizer using air, water, and renewable electricity (e.g., solar). Growers will have access to a more reliable, low-cost, and environmentally friendly fertilizer supply. We are actively growing our team to help us turn this vision into a reality. 

Position Description

The Senior Process Engineer will be part of Nitricity’s core product engineering team to develop Nitricity’s breakthrough renewable fertilizer production prototype systems into megawatt-scale chemical production facilities. This will entail working with a team of experts in chemical, mechanical, and electrical engineering to build a system and optimize a process that will revolutionize fertilizer. The Senior Process Engineer will report to Nitricity’s VP of Engineering and apply their engineering expertise to solve engineering roadblocks and accelerate development toward the commercial product.

Responsibilities

• Design, configure, and optimize Nitricity’s industrial chemical fertilizer processes from inception through to start-up and certification.
• Work with Nitricity-affiliated contractors and engineering firms to accelerate product and subsystem development.
• Assess, design, run, test, and upgrade systems and processes. This will include assessment of work by third-party contractors and engineering firms.
• Develop best practices, routines, and innovative solutions to improve production rates and quality of output. Provide process documentation, technical specifications, and operating instructions.
• Perform process simulations, risk assessments, and manage cost and time constraints.
• Select equipment, components and instruments for systems.
• Work to ensure the timely scale-up of system processes.
• Train other process engineers in industrial process engineering.
• Develop the operating processes, procedures, and parameters for the chemical plant Nitricity is designing.
• Develop all required documentation for operations, safety, and chemical management.
• Create and maintain Mass and Energy balance for production processes.
• Create and maintain P&IDs for production processes.
• Create and maintain Process Flow Diagrams for production processes.
• Create and maintain Design Basis for production equipment and facilities.
• Create and maintain a Control Philosophy for production processes. Work with the controls team to develop the controls programming needed to run the plant.
• Lead HAZOP reviews and implement best-practice solutions.
• Work with the engineering and operations teams to achieve the needed processes.

Required Qualifications

• Bachelor’s degree in Chemical Engineering (ChE), master's preferred
• 5-8 years of experience developing large chemical processes
• 5-8 years of experience with gas flow, and thermal management technologies
• Experience with AutoCAD 2D.
• Expertise with process simulation software tools, Pro Sim
• Work well in focused teams with multiple disciplines
• Versatility to thrive in a start-up environment
• Teamwork, communication, and organizational skills
• Enthusiasm for high-impact, hard tech solutions
• Work experience at or with EPCs
• Work experience with Permitting and Construction Documents, familiar with National Codes and Standards for Chemical Factory Piping and Equipment.

Benefits

• $135,000/yr - $155,000/yr
• Medical and dental insurance
• 3 weeks paid time off
• 7 company holidays and 4 floating holidays
• Competitive salary and equity package
• 401(k) plan 
• Commuter Benefits

Role

As a Principal Mechanical Engineer at Vivodyne, you will be part of a multi-disciplinary team pushing the boundaries of automated, large-scale "organ-on-a-chip" robotics and related manufacturing systems. Your focus will be on developing and optimizing hardware and software that orchestrates robotic arms, embedded controllers, and microfluidic systems to enable high-throughput, high-precision biological workflows.

This role requires expertise across hardware and software, but primarily hardware.  From high-level motion control and machine vision to robotics programming and embedded firmware. You’ll work extensively with existing Python (less so with, C#, and C++) codebases, ensuring seamless system integration and performance.

You are a mechanical design expert.  Things like kinematic docking, 440 vs 316, FEA, and error budgets are very familiar to you.  Your friends include McMaster-Carr, Misumi, and Grainger. 

Collaboration is key—you’ll engage with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and refine automation workflows that drive breakthroughs. We’re looking for a problem solver comfortable working across multiple domains, thriving in a fast-paced, high-innovation environment that values continuous learning and technical excellence.

This is a full-time, onsite role in San Francisco, where you’ll be designing, building, and testing some of the most advanced automation and high-throughput biology systems in the world.

Responsibilities

• Architect, design, and implement advanced automation systems, ranging from automated microfluidic manufacturing to high-precision mammalian cell culture platforms—all of which are mission-critical and highly visible both internally and externally.
• Develop hardware and software systems that acquire and process data reliably, ensuring smooth handoffs to production through rigorous documentation, data acquisition, and analysis.
• Embrace the dynamic nature of a rapidly growing startup, working across multiple projects and disciplines.
• Collaborate cross-functionally with Product leads, tissue engineers, microfluidics specialists, and AI researchers etc. to gather requirements, set technical objectives, and integrate new features into our robotics platforms.
• Design and implement resilience mechanisms to ensure system robustness, enabling fault detection, fault recovery, and minimal downtime, while maintaining data integrity.
• Proactively identify optimization opportunities, selecting priorities through engineering analysis and data-driven decision-making.
• Communicate progress and findings to internal stakeholders—including mechanical engineers, data scientists, and senior leadership—through data-laden presentations and technical reports.

Requirements and Expectations

Technical Expertise & Knowledge

• Bachelor’s degree (M.S. or Ph.D. preferred) in Mechanical Engineering, Chemical Engineering, or a related field with a focus on microfluidics, tissue engineering, or lab automation at least six years of directly relevant industry experience.
• Broad experience in hardware and, preferable, software design for automation, spanning off-the-shelf solutions and custom-built systems—you have developed complex automation workflows for production-level environments.
• Proficiency in key hardware and software tools, including SolidWorks (expert-level, CAM experience is a plus), and at some exposure to Python/Matlab/C++/C#/Javascript/etc.
• Hands-on experience with commonly used automation hardware, such as vision/camera systems (optics and/or optomechanical expertise is a plus), motion control, liquid handling, and pick-and-place robotics.
• Highly knowledgeable in various Manufacturing Technologies, you know how things are made and which approaches fit a particular application
• Industry-specific expertise is highly valued:
• Biotech/lab automation or semiconductor robotics experience is a strong advantage.
• Knowledge of microfluidics and fluid handling systems.
• Experience integrating robotics with high-content imaging and confocal microscopy systems, optimizing workflows for advanced imaging pipelines.
• Biology background or familiarity with cell and tissue engineering concepts is a significant plus, especially in handling biological samples.
• Bonus points for experience with:
• Electronics/PCBA design or basic knowledge (reading schematic, troubleshooting interconnects), statistical analysis/data collection to inform design performance rigorously

Problem Solving & Ownership

• You take an outcome-driven approach, translating project goals and technical challenges into systematic, resilient robotics solutions.
• Strong ownership mentality, ensuring the timely delivery of high-reliability features and improvements.
• Growth-oriented, continuously seeking ways to enhance automation processes, optimize robotic operations, and drive innovation.

Collaboration & Communication

• A team player, capable of working with engineers, scientists, and external stakeholders to define requirements, refine designs, and communicate project progress effectively.
• Clear communicator, able to explain complex robotics concepts to cross-functional teams, from software engineers to biologists.
• Interdisciplinary mindset, integrating feedback from various fields to develop thoughtful, iterative design improvements.

Innovation & Leadership Mindset

• Passionate about staying at the cutting edge of robotics, bringing fresh ideas from emerging technologies, best practices, and research to the team.
• Comfortable taking initiative in uncharted territories, whether it’s developing new motion-planning algorithms or integrating novel sensors and hardware.

Why Vivodyne?

• High-Impact Mission – Play a pivotal role in transforming drug discovery and human therapeutics through advanced robotics and automation.
• Multi-Disciplinary Exposure – Work alongside leading experts in robotics, AI, biology, and microfluidics, expanding your expertise in a truly collaborative setting.
• Growth Opportunities – A fast-growing startup environment with significant autonomy, ownership, and influence over best practices in the intersection of biotech and robotics.
• Innovative Culture – Join a team that prioritizes continuous learning, rigorous engineering and scientific standards, and bold problem-solving.

If you're excited about revolutionizing automation in organoid engineering and biotech—while pushing the boundaries of robotics, AI, and advanced systems—let’s connect! Please submit your resume and a brief statement of interest. We look forward to exploring the opportunity together.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.