About the Role:

Planet is developing the next generation of small satellite buses, featuring high-resolution optical imaging payloads, a space-based data center connected by optical inter-satellite links (OISLs), and high-speed RF/Microwave communication links. We continuously iterate on and develop small spacecraft communication systems—including board-level hardware, antennas, and ground station equipment—to achieve record data rates and link performance. Our system utilizes proprietary and industry-standard modems, transceivers across several bands, optical laser communication systems, and a worldwide network of ground stations.

We are seeking an experienced Satcom Modem Engineer to develop and mature our next-generation onboard satcom links, ground radios, and antenna systems, pushing the frontiers of satellite communications. You will architect, design, simulate, implement, and validate cutting-edge software-defined Satcom radios. Responsibilities include characterizing the SDR link performance of Planet’s next-generation S through Ka-band and optical terminals, selecting vendors, and managing subcontractors for Satcom solutions. You will facilitate and conduct rigorous testing on space and ground communication subsystems to ensure flight readiness. Success requires close collaboration with RF, EE, Flight SW, systems engineering, missions, and manufacturing teams.

The ideal candidate thrives in an agile, fast-paced environment and is comfortable with ambiguity.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Impact You'll Own:

• Develop GnuRadio-based ground modem solutions.
• Architect, design, and verify space segment software-defined radios and modems.
• Lead on-orbit performance validation for end-to-end satellite communications systems.
• Lead RF/MW/Optical Communications system integration and testing.

What You Bring:

• Strong experience with DSP algorithms, digital communication theory, and implementation (including digital modulation, synchronization, error correction, floating-point, and fixed-point design).
• Experience with Software Defined Radios (SDR), specifically GNU Radio and Linux development tools.
• Experience defining and measuring radio performance metrics in real time (e.g., SNR, BER, PER, and constellation visualization).
• Experience with state-of-the-art RF System-on-Chip (SoC) implementations.
• BS in Electrical/Computer Science or equivalent experience with a focus on digital communicatons.

What Makes You Stand Out: 

• MS or Ph.D. in Electrical Engineering with a focus on digital communications.
• Expertise in Matlab and Simulink for modem design.
• Experience with SDR platforms and associated signal processing libraries (e.g., GNURadio).
• Proficiency in Linux, Python, and data analysis tools.
• Experience with optical communications and links for space applications.
• Expertise in Radar and/or Phased Array technology.

Application Deadline:

August 1, 2026 at 11:59pm PST

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

System Modeling Engineer, Redwood Energy 

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product. This position focuses on developing Multiphysics modeling platform to drive the system design of a novel energy storage system. These models must be robust enough to support multiple users, but agile enough to quickly drive a diverse array of design decisions. 

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. If you’re excited about working in a dynamic, fast-paced setting within a new department at Redwood, we want to hear from you! 

If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities. 

Responsibilities will include: 

• Contribute to Redwood Material’s in-house performance and technoeconomic model. 
• Drive architectural studies to explore the cost and performance design space. 
• Produce component-level sensitivity analysis to allow component owners to make globally optimal cost and performance tradeoffs. 
• Utilize the models to produce repeatable and dependable results for various stakeholders within the organization to drive product architecture and site-specific deployment decisions. 
• Parallelize our modeling framework to utilize cloud computing resources to get results faster. 
• Lead model validation efforts by writing test plans, working with test engineers to execute the test, and using the data to correlate the model. 
• Effectively communicate modeling results to drive architecture and performance initiatives. 

Desired Qualifications: 

• An MS or PhD in Mechanical Science, Electrical Engineering, or a related field. Or a BS and 2+ years of related work experience. 
• Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics. 
• Experience collaborating in software projects with multiple contributors. 
• Hybrid or electric powertrain model development, PV model development, or data analysis in Python or MATLAB/Simulink. 
• Familiarity with basic controls techniques, such as filters, PID controllers, and system identification. 
• Experience with optimization techniques. 
• Demonstrated ability to write clear and testable engineering requirements. 
• Strong communication and collaboration skills. 

Systems Engineer, Energy Storage

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product at Redwood. This position will lead our system engineering effort, helping our mechanical, electrical, and software engineers come together and deliver a cohesive system. You will define clear requirements, evaluate and down-select system architectures, and drive the decision throughout the engineering organization. You are a believer and practitioner of model-driven design and have right-sized system engineering frameworks for a scrappy, fast-moving engineering team. The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. If you’re excited about working in a dynamic, fast-paced setting within a new team at Redwood, we want to hear from you! If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities. 

Responsibilities will include: 

• Optimizing architecture to achieve top-level product metrics such as cost, efficiency, energy/power density and availability.
• Ownership of system-level performance and functional requirements as well as development of subsystem and component requirements in partnership with design engineers.
• Performing or defining system modeling, simulation, and testing to validate system performance against requirements.
• Establishing interface definitions across components and between mechanical, electrical, and software teams.
• Reinforce system safety and reliability through participation in DFMEAs, risk assessments, and hazard analyses to identify and mitigate potential failure modes.
• Ensuring compliance with industry (UL) standards. 

Desired Qualifications: 

• BS or MS in Mechanical Science, Electrical Engineering, or a related field and 5+ years of design engineering or system engineering experience.
• Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy transformation, and basic thermal mechanics.
• Experience with power electronics product development.
• Proficiency in system modeling tools (Python or Matlab).
• Experience with requirement management tools (Doors, Jama, etc).
• Demonstrated ability to write clear and testable engineering requirements.
• Strong communication and collaboration skills.  
• A passion for sustainability and making the world a better place!

About You and the Role

Zipline is building the world’s largest autonomous logistics system, delivering vital medical and commercial supplies across the globe. As we scale our operations and extend into more complex, safety-critical environments, the ability to validate and prove our autonomy performance at scale becomes absolutely essential.

We’re looking for a deeply technical software engineer to join the Autonomy Validation team — a core team responsible for building the infrastructure, tools, and frameworks that support software validation across the entire Autonomy organization. This includes planning, perception, control, and all of the decision-making logic that powers our self-flying aircraft.

Our autonomy stack is highly custom-built, and while that gives us unmatched control and performance, it also means standard out-of-the-box testing tools don't work. In this role, you’ll take ownership of developing robust internal platforms for validation — enabling both simulation at scale and rigorous scenario testing — so that autonomy engineers can ship with confidence.

This is not a QA role. It’s a foundational software engineering position building critical systems that will directly shape how we test, verify, and deploy autonomy safely around the world.

What You'll Do

• Build and own the infrastructure for validating autonomous features and system performance across planning, perception, and control.
• Design and develop simulation tools and scenario generation for large-scale and high-fidelity testing of autonomy under real-world and edge-case conditions.
• Develop custom tools for validation and testing of autonomy components that plug into our internal autonomy development stack.
• Create scalable, reliable, and automated solutions for running, tracking, and analyzing thousands of validation tasks across autonomy org.
• Collaborate deeply with:
• Autonomy engineers, to understand how system behavior should be evaluated.
• Systems and data engineers, to ensure metrics, safety thresholds, and requirements are codified in test infrastructure.
• Flight test and QA teams, to connect real-world results back into test tools and CI loops.
• Establish best practices for software release validation, helping ensure our autonomy stack is safe, measurable, and production-ready.
• Contribute to internal docs, standards, and validation workflows that scale across the autonomy organization.
• Define validation methodologies and metrics, determining how new autonomy features should be evaluated and measured in simulation

What You'll Bring

• 5+ years of experience building software systems for simulation, testing, or safety validation — ideally in robotics, autonomy, aerospace, or other real-time, safety-critical domains
• Strong software engineering skills with proficiency in C++, Rust, or C (Python is a plus for tooling and scripting)
• Hands-on experience building or working with simulation systems for robotics or autonomous systems, particularly for testing or validation
• Experience building tools, platforms, or infrastructure used by other engineers
• Understanding of validation methodologies, including defining metrics, evaluating system behavior, and testing complex electromechanical systems

Nice to Have

• Experience with high-fidelity simulation or scenario generation frameworks
• Experience with large-scale or distributed systems (e.g., cloud infrastructure, Kubernetes, AWS)
• Familiarity working with systems engineering concepts (requirements, safety constraints, metrics)
• Exposure to autonomy stacks (planning, perception, control)
• Some exposure to machine learning systems (not required)

What We're not Looking For

• Primarily MATLAB/Simulink-based simulation experience
• Roles focused mainly on systems engineering without hands-on software development
• Infrastructure- or DevOps-focused roles without experience in autonomy or simulation
• QA/QC-focused verification roles without significant software engineering ownership

What Else You Need to Know   

About the Role:

The Electro-Optical Systems team at Planet is seeking an Opto-Mechanical Engineer to help drive the design of payloads in Planet’s fleet of Earth-imaging satellites. Your mission will be to champion our payload design efforts, with a specific focus on opto-mechanical design and manufacturing. The ideal candidate will be a seasoned opto-mechanical designer who has led optical system engineering efforts across multiple programs from conceptual design through flight. As a member of the Electro-Optical Systems team within Planet’s Space Systems division, you will be a key contributor and stakeholder in Planet’s agile aerospace approach to spacecraft design, and will work hand-in-glove with optical engineering, structural analysis, thermal engineering,  and reliability & qualification, as well as the rest of Planet’s leading-edge spacecraft design and manufacturing teams. 

This is a full-time, in-office position based in our San Francisco HQ 5 days per week.

Impact You'll Own:

• Own the opto-mechanical manufacturing process of optical payloads on Planet’s next-generation satellites
• Design the manufacturing line for mid-volume production of optical payloads. Make first principle based, data-driven decisions throughout the design process to ensure efficient assembly and test processes
• Collaborate with cross-functional teams such as structural, thermal analysts and optical engineer groups to drive and perform analyses to ensure payloads meet stiffness, strength, thermal, and launch survivability requirements, as well as maintain on-orbit performance through STOP (Structural, Thermal, Optical Performance)
• Drive part and assembly design, manage fabrication with key vendors, perform failure analysis, and execute tolerance stackup and GD&T analyses to ensure precision and reliability
• Develop and maintain comprehensive design documentation 
• Lead technical presentations and reviews across all design review gates
• Support test planning and qualification test campaigns
• Be hands-on with flight and test hardware

What You Bring:

• Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field.
• 4+ years experience owning the development of opto-mechanical products from requirements through conceptual design, testing and manufacturing
• Experience designing for high-reliability space environments including launch survivability, vacuum conditions, on-orbit performance through thermal conditions (STOP)
• Experience in the design and fabrication of optical assemblies, incorporating components made from glass, carbon fiber, metals, ceramics, epoxies, as well as mechanisms and electrical elements
• Practical and direct engagement with hardware, from prototyping to production and testing phases
• Excellent analytical and problem-solving skills
• Experience working in a dynamic environment while driving projects to completion
• Good verbal and visual communication skills

What Makes You Stand Out:

• Expertise in optics / opto-mechanical manufacturing, metrology, alignment and calibration
• Ability to build out the manufacturing line for precision optical systems
• Experience with dynamic hardware builds, vibration and shock testing, telescope assembly, and optical performance testing
• Experience applying systems engineering principles to optimize optical payload integration, focusing on requirements management, trade-off analysis, and balancing system-level constraints such as cost, schedule, and performance
• Ability to drive manufacturers and DFM/DFA
• Proficiency in SolidWorks, Zemax, Matlab, Visual Basic, Python and/or C/C++

Application Deadline:

July 1, 2026 at 11:59pm PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Reliability Test Intern (Fall 2026)

Internships at Astranis typically last for twelve weeks, and are hourly roles designed for students who are currently enrolled at a four-year university. 

As an Intern, you will have an amazing opportunity to work on hard problems — we pride ourselves on giving everyone at Astranis a chance to do meaningful work on complex projects, no matter their seniority. Many past interns have designed and tested hardware/software that is heading to space on our first satellite, and many of them are now full-time employees at Astranis. 

If you have already graduated from a four-year university, please apply to be an Associate Engineer.

Role

• Collaborate with cross-functional engineering teams to plan reliability tests for satellite hardware
• Support test plan and procedure development based on design specifications and mission profiles
• Set up, operate, and monitor environmental test equipment, including thermal chambers, thermal vacuum systems, vibration shaker tables, and combined thermal vibe chambers
• Execute reliability tests such as thermal cycling, thermal vacuum, and vibration
• Collect, analyze, and document test data to identify potential failure modes and ensure hardware meets reliability targets
• Design test fixtures, setup instrumentation and data acquisition systems

Requirements

• Currently pursuing a degree in Mechanical, Electrical, Aerospace Engineering, or a related technical field
• Strong interest in hardware reliability, testing, and hands-on engineering work in a fast-paced environment
• Ability to manage multiple tasks, prioritize effectively, and adapt to changing project needs
• Strong communication skills
• Must be onsite 5 days per week

Bonus

• Hands-on experience with environmental or reliability testing
• Familiarity with test equipment such as test chambers and DAQs
• Experience with data analysis tools in Python, MATLAB, or similar
• Exposure to hardware design, integration, or lab-based engineering projects
• Understanding of failure analysis, root cause investigation, or reliability engineering principles
• Previous internship, research, or project experience in aerospace or hardware-focused environments

We are looking for an Autonomy Software Systems Engineer who can derive requirements from first-principles for safe driving behavior for a self-driving vehicle. An ideal candidate will have background developing algorithms commonly used in autonomy or robotics applications in aerospace, automotive, or other domains.  This will be used to support our safety claims about safe perception, motion planning, and control for autonomous robots so that we can ethically and safely deploy autonomous trucks to save lives and transform the freight industry.

In this role, you will:

• Collaborate closely with Autonomy Software teams by using first-principles analysis to develop requirements for safe perception, localization, prediction, motion planning, and/or control algorithms.
• Identify edge cases that could help us expose weaknesses in our system prior to encountering them in on-road environments.
• Provide analysis to support complex autonomy system design trade-offs to inform system design decisions affecting safety and performance.
• Support development of simulation scenarios, structured track testing, on-road road testing, and hardware-in-the-loop testing.

What you’ll bring:

• Deep understanding of kinematics, dynamics, and system modeling
• Strong programming skills in Python, MATLAB, C++, or C
• Hands-on work across multiple of the following areas:
  • Sensor fusion and object tracking (e.g., Kalman filtering, particle filters, least squares estimation)
  • Machine learning methods (e.g., neural networks, SVMs, kNN, regression models, decision trees)
  • Classical computer vision (e.g., edge/corner detection, camera calibration, optics)
  • Motion planning (e.g., A*, RRT, potential fields)
  • Control systems (e.g., PID, nonlinear control, model predictive control)
• Strong foundation in probability and statistics, including appropriate application of distributions (e.g., Gaussian, Poisson, binomial)
• Working knowledge of autonomy system architectures and system-level design
• Background in one or more of the following:
  • Bayesian inference (e.g., beta and gamma distributions)
  • Markov models and probabilistic system modeling
  • Simulation development and validation environments
  • System reliability analysis
• Exposure to safety-critical standards such as ISO 26262, DO-178, or IEC 61508 (e.g., ASIL-D, DAL A, SIL 4)
• Experience with safety analysis methodologies (e.g., FTA, FMEA, HARA)
• Understanding of redundancy strategies and fault-tolerant system design
• Familiarity with SOTIF, UL 4600, and safety case development (e.g., Goal Structuring Notation)
• Knowledge of real-time, safety-critical systems
• Experience contributing to verification and validation (V&V) efforts or full testing campaigns

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

Senior Solutions Engineer

This role will contribute to both commercial and our US government programs.

Role

As a Senior Solutions Engineer you will be working on satellite network design and analysis for global commercial and government solutions. This role will focus on pre-sales engineering for commercial pursuits, but also support post sales engineering and internal development efforts. At its core, this involves optimizing high throughput satellite networks, from design to operation, by understanding and trading dozens of parameters, including but not limited to: 

• Satellite communications payload configuration and development
• Orbital slot selection, spectrum, and frequency planning 
• Antenna system optimization, user coverage area definition
• User terminal selection
• Networking / modem equipment selection and configuration 
• Gateway and remote earth station selection
• Baseband selection to meet the client’s specific use case

This is an exciting multi-dimensional role that provides a balance of technical and business / customer facing responsibilities, and is high visibility and high impact. Our responsibilities include:

• Create satellite network solutions for commercial pursuits all the way through deal closure and beyond.
• Modeling and analyzing satellite networks using in house network software
• Interfacing with Commercial, US Government, Finance, Legal, Engineering, Operations, Regulatory and Executive teams
• Communicate our satellite network designs and reports externally as solutions/sales engineers
• Aid in regulatory (FCC, ITU, etc.) efforts regarding spectrum use and coordination
• Aid and influence the design of analysis software that enables us to excel in our role.
• Define product market fit for next generation satellite communication systems
• Dimensioning ground solutions for commercial pursuits by working with Earth Stations Engineering/Operations, Network Operations, and Hub teams
• Building Astranis’s profile with the international business community
• Maintain healthy relationships with vendors and partners such as network hardware/service suppliers, hub vendors, and terminal suppliers for satellite networks
• Shaping our future product offering based on current trends, market insight, and customer feedback
• Assisting in recruiting, interviewing, and hiring additional teammates to our rapidly-growing team
• Willingness to travel (Up to ~20%)

Requirements 

• 5+ years in satellites communications industry experience with High Throughput Satellite (HTS) systems including ground, hub, and network systems for LEO, MEO, or GEO 
• Bachelor of Science degree in Aerospace Engineering, Electrical Engineering, Computer Science, or Physics  (or equivalent background knowledge) 
• Enjoy working in a fast paced environment and shaping process and procedures for long term growth
• Link budgeting / Link analysis experience
• Experience with regulatory affairs for space based communications networks
• Experience with satellite network hub management and operations
• Proven track record in strategic technical sales environments balancing the customers’ wants with internal capabilities and goals
• Scripting language experience in one of the following: Python (preferred), MATLAB, R, Julia, C++, or similar. Comfortable using scripted tools to conduct analyses and trade studies. 
• Must be onsite in San Francisco
• Don't meet them all? Not a problem. Please apply even if you do not meet all these criteria.

Bonus  

• Experience in cellular 3g, 4g, LTE, and 5g network protocol
• Experience in SD-WAN architecture
• Experience working Military Satellite communications systems

Mechanical Integration Engineer

As a member of the Mechanical Integration team at Astranis, you'll be responsible for building parts, subsystems, and ultimately, entire satellites. You will work closely with designers to collaborate on design for manufacturability, technicians to ensure they have what they need to keep building hardware, and test teams to collaboratively produce the future of communication satellites. As we continue to grow our production capability, you will also have an opportunity to define new iterations of our factory including process improvements, equipment design and selection, and workflow definition.

Role

• Design high-level architecture and manage vehicle integration and test operations
• Define and author flight hardware integration flows, plans, processes, and procedures
• Evaluate proposed designs for manufacturability and integration
• Evaluate non-conformances to determine root cause and create actionable items and system improvements
• Work hands-on with flight hardware at build, test and launch sites to ensure mission success
• Design ground support equipment to assist with the assembly, integration and test of the spacecraft
• Create, maintain and communicate detailed schedules, ensuring the team is aware of tasks and deadlines, including resource identification and acquisition
• Assist in recruiting, interviewing, and hiring additional teammates to our rapidly-growing team

Requirements

• Bachelor's of Science degree in mechanical engineering, aerospace engineering, or equivalent
• 2+ years experience in hands-on mechanical engineering, manufacturing, or equivalent role (including internships or club experience)
• Hands-on experience with handling, lifting, or building complex assemblies
• A passion for hardware development, including working in a fast-pace environment and hands-on design and/or process and development
• Ability to not only find problems, but also quickly identify and evaluate multiple solutions
• Strong communication skills
• Strong organizational skills and attention to detail
• Ability to handle multiple tasks and prioritize
• Strong sense of accountability, integrity, and team focus with extensive multitasking and organizational experience
• Don't meet them all? Not a problem. Please apply even if you do not meet all these criteria.

Bonus

• Strong electrical and mechanical systems engineering intuition and critical thinking. 
• Comfort with ambiguity and turning high-level requirements into clear design/test objectives.
• Experience with 3D CAD
• Working knowledge of MATLAB or Python

Antenna Intern (Fall 2026)

Internships at Astranis typically last for twelve weeks, and are hourly roles designed for students who are currently enrolled at a four-year university. 

As an Antenna Intern, you will work closely with mechanical, thermal, and payload system engineers to design, build and test antenna systems for ongoing and next-generation satellite payloads. 

Role

• Leverage cutting-edge design tools to realize high-performance communications antenna systems with on-orbit flexibility to meet evolving customer demand.
• Work with vendors to design and procure antenna and RF components and validate their performance through anechoic chamber testing.
• Co-design antenna components and systems in conjunction with other technical disciplines, including Mechanical/Structural/Thermal/Payload Systems.

Requirements

• Fundamental understanding of electromagnetics, including antenna fundamentals, impedance matching, transmission lines, and circuit matching.
• Experience measuring components using vector network analyzers, spectrum analyzers, and signal sources.
• Demonstrated ability to solve engineering challenges in innovative and creative ways.
• Capable of using industry-standard design tools such as CST, HFSS, or TICRA and scripting to solve engineering problems using Matlab or Python.

Bonus

• Experience with 3D printing (Direct Metal Laser Sintering and Fused Deposition Modeling).
• Experience with link budget and system calculations including EIRP, noise figure, and G/T.
• Experience designing waveguide components (OMT, MUX, diplexer, filters, polarizers, etc).
• Experience with reflectors.

About The Systems Modeling Team

The Systems Modeling Team has tremendous power to shape Zipline’s products. We develop physics-based models and use them to architect and optimize our aircraft, as well as the supporting logistics system. Through simulation, we can rapidly explore a vast array of design options for future products, and we can find ways to wring more performance out of our existing products. 

Systems Modeling brings diverse teams and fields together (e.g. mechanical, aerodynamics, electromagnetics, electrical, battery chemistry, thermal, controls, fleet operations, economics) to gain new insights. We translate technical conversations into rigorously framed engineering problems. We value asking pertinent questions and generating coherent answers. 

What You'll Do  

You will lead a team of high-caliber engineers applying analytical skills at both the product architectural and fleet operations level. Your team’s contributions will guide and accelerate key decisions during many phases of engineering development, and scaling. Importantly, you will challenge assumptions and requirements – especially those which drive the most cost and complexity. You will relentlessly pursue high-quality insights by improving validation processes, checking simulation results with independent hand calculations, safeguarding model inputs, and calling out where model assumptions are weakly supported by data.   

The fundamental role of your team is to build and maintain models that close the loop between product performance goals and hardware/software requirements. For example, this might consist of an aircraft model with subcomponents for motors, inverters, propellers, wings, batteries, position/orientation controllers and more. You’ll zoom in on the finer points of each subsystem: Should the propulsive motor be mated to a gearbox? How can we design it to supply sufficient torque without overheating, while weighing as little as possible? What type of battery chemistry should be selected, in light of requirements for lifetime, mass, power capability, and energy? You’ll ask critical questions at the system-level: How much range is an acceptable trade-off for payload mass? How does unfavorable weather impact aircraft performance capabilities? You’ll explore the vast space of mission types, sub-system faults, and other key events to understand their impact on the system.

Your team also optimizes the operational efficiency of the Zipline fleet, directly impacting our customers. What is the smallest number of aircraft that can effectively support a given service area? How might we maximize deliveries per unit hardware by identifying and eliminating bottlenecks, or by adding sophistication to our aircraft dispatching strategy? How should we manage battery charging, given competing objectives of battery life versus charging speed? Is it best to avoid windier parts of the day, or is it ultimately too costly to sit idle? Your team’s model-driven analysis will link operational decisions with customer-facing outcomes. 

What You'll Bring  

• Demonstrated experience building mathematical models and modeling frameworks, across languages, methods, and tools
• Deep programming experience in Python, MATLAB, or Rust
• An understanding of numerical methods
• Strong convictions about the defining attributes of high-quality code tools 
• Demonstrated experience integrating simulation tools across platforms and software languages 
• A mastery of engineering and physics fundamentals:
• Energy and power
• Dynamics (kinematics, forces, moments, acceleration/rotation)
• Fluids and aerodynamics
• Heat transfer and thermodynamics
• Experience in fleet-level simulations and optimization
• Range Modeling
• Throughput Modeling
• Network Modeling
• Fluency in system-level optimization 
• An ability to distill an open-ended topic into a rigorously framed problem statement
• Familiarity with a variety of solution techniques, and the ability to identify an appropriate technique for a given problem
• Comfort with empiricism
• An ability to interpret complex datasets that span multiple physical realms
• Experience designing test campaigns for model validation
• Familiarity with practical considerations in embedded algorithm design
• Excellent communication skills, particularly in distilling multidimensional solution spaces into straightforward insights
• Demonstrated leadership attributes
• Awareness of the most critical needs of the company, and motivation to seek out unsolved problems
• An ability to drive progress on many projects at once, and to dynamically prioritize projects in a fast-evolving environment
• Courage to make tough decisions in the face of imperfect information
• Adherence to thorough and well-organized documentation
• Patience to teach technical skills to others, while remaining open-minded to learning new skills yourself
• Empathy and understanding for the people you work with

Minimum Experience:

• 10 years related industry experience
• BS in Mechanical Engineering, Electrical Engineering, or similar discipline; MS strongly preferred

What Else You Need to Know

The starting cash range for this role is Salary range: $190,000.00 - $230,000.00. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

ABOUT YOU AND THE ROLE  

Are you eager to apply your technical skills to solve real-world problems and drive meaningful change? Do you thrive in environments where you're given ownership, creative freedom, and complex challenges to tackle? If so, join our Field Systems Engineering team at Zipline—where your work directly impacts lives every day.

Zipline’s long-range drone platform began operations in Rwanda in 2016. With a fixed-wing design capable of flying over 200 km on a single charge, our drones enable fast, reliable delivery of critical medical supplies to remote communities. From helping new mothers in Rwanda to saving snake bite victims in Ghana, Zipline’s technology has already served millions across the African continent—delivering thousands of life-saving products daily.

The Field Systems Engineering (FSE) team operates at the intersection of Engineering and Operations. We ensure that the equipment we design is safe, robust, and reliable—because lives depend on it. As a Senior Embedded Software Engineer on the FSE team, you’ll play a crucial role in optimizing the performance and reliability of our long-range drone systems.

In this role, you’ll work closely with a range of cross-functional engineers and flight operators to identify friction points in how our software supports daily operations for our Platform 1 vehicle that is supporting operations around the world. You’ll lead anomaly investigations, define data-driven requirements, and drive execution of improvement projects to enhance system reliability, ease of maintenance, and overall usability. Whether you're implementing direct software improvements or coordinating efforts across multiple teams, your goal is to ensure the platform runs smoothly and efficiently. At times, you’ll step into a technical program management role—helping unblock other engineers, align priorities, and drive key projects forward. Success in this role requires an entrepreneurial mindset, strong technical foundation, excellent communication skills, and the ability to translate between the needs of operators in the field and the engineers building the system. If you thrive at the intersection of software and real-world impact, and enjoy bringing clarity and progress to complex systems, you’ll feel right at home here.

WHAT YOU'LL DO 

• Optimize and improve a complex, real-world system used daily by operators—delivering timely solutions while ensuring all changes are thoroughly validated for safety and reliability.
• Travel to our international operations centers to understand how the system works in the real world.
• Become the go-to expert on the existing flight software stack, along with its development, testing, and deployment tools.
• Support triage and risk assessment of emergent technical issues, balancing urgency with sound engineering judgment.
• Lead new projects to drive operations efficiency and increase system robustness.
• Drive data-driven analysis of system behavior using tools like Databricks to diagnose issues, evaluate performance, and quantify the impact of improvements.
• Build and maintain strong working relationships across the organization—from operations and systems engineering to software leads and regulatory partners.
• Identify, document, and drive improvements to the software development and deployment lifecycle for the long-range drone platform.
• Collaborate across teams—global operations, engineering, and leadership—to shape the strategic software roadmap for the platform.
• Design, coordinate, and execute high-impact testing campaigns that validate new features, improvements, or fixes in real-world conditions.

WHAT YOU'LL BRING  

Basic qualifications:

• 8+ years of professional experience in embedded software development, integration & test, mechatronics/robotics engineering, or similar, for hardware products in a safety-critical field, e.g. aerospace, robotics, medical devices, autonomous vehicles.
• Proficiency in one or more “strongly typed” language: Rust, C++, C
• Familiarity with software development practices, including version control (e.g. Git), testing, and CI/CD pipelines.
• Ability to analyze field performance data, and develop data analysis tools in languages like Python, SQL, MATLAB
• You are willing to work some nights/weekends and travel, including to international sites as needed
• You are eligible to work in the US

Preferred qualifications:

• Demonstrable history of assuming ownership of complex engineering problems, and driving them from inception to solution. 
• Experience leading engineering projects with multi-disciplinary teams to solve technical problems in a fast-paced environment.
• Excellent written and verbal communication skills
• Demonstrated engineering intuition, ability to think critically, and be comfortable with ambiguity. 
• Creative problem solver that can make design and development decisions with limited or imperfect data.
• Strong sense of accountability and integrity, and are not afraid to challenge the status quo. 
• Self-motivated with strong learning, multi-tasking, organizational, and documentation skills.

WHAT ELSE YOU NEED TO KNOW   

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

About You and The Role 

As a Senior Motor Control Engineer at Zipline, you’ll be responsible for shipping high-performance motor controller firmware for Zipline’s family of proprietary motor controllers. Expect to work closely with electrical engineers, structures and mechanism designers, flight software developers, and test-site operations teams. Our close-knit engineering culture presents a unique opportunity to learn from a strong multi-disciplinary team, and lets you swiftly ship features that are clearly linked to the delivery experience.

We use C++ in our firmware development, with Rust and Python for tooling that will be deployed to our production systems in the field. The team uses hardware- and software-in-the-loop test infrastructure to validate new features and regression test existing functionality. You’ll often be querying large data-sets from our test operations to make high-quality data-driven engineering decisions and build prototypes of new algorithms. You’ll build analyses in Matlab, Julia, or Python to prove the performance of your controls designs, and execute Monte-Carlo simulations to validate complex dynamics.

What You'll Do

• Design estimators and controllers for propulsion motors and actuators, in close collaboration with the vehicle controls team.
• Implement these controllers in C++, targeting a bare-metal ARM microcontroller.
• Write peripheral drivers for new revisions of Zipline’s motor controller hardware.
• Get your hands dirty validating your firmware on the bench and in flight tests.
• Understand and improve the reliability of the flight software system as a whole, working with hardware and systems engineers to develop comprehensive fault management strategies and hardware-in-the-loop tests.
• Build vehicle simulations in Rust to validate and regression test Zipline’s firmware.
• Collaborate with electrical engineers to bring-up and validate new inverter designs.
• Build and maintain automated systems to monitor the performance of our fleet and direct maintenance activity.

What You'll Bring

• Fluency in C/C++, and excitement about writing code in Rust and Python.
• Eagerness to learn in a fast-paced safety-critical environment.
• Some experience with mechatronic control systems: hobby projects or professional experience are applicable.
• Curiosity and a willingness to work in a variety of embedded environments, from running on bare metal, to using a RTOS and integrating with embedded Linux.
• Experience supporting robotic systems in the real-world, in particular addressing the long-tail of edge-cases and rare events to guarantee safety, reliability, and performance.
• A systems-engineering mindset, and an eye for finding efficient solutions to problems that may lie outside your core competencies.
• Strong executive communication skills, to efficiently communicate about your work with stakeholders outside your technical domain.
• You must be able to work on-site in South San Francisco, CA.
• A background in electronics design would be appreciated, but is not required.

What Else You Need to Know

The starting cash range for this role is $155,000 - $225,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Please Note

We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.

Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.

If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim.

ABOUT YOU AND THE ROLE  

Are you eager to apply your technical skills to solve real-world problems and drive meaningful change? Do you thrive in environments where you're given ownership, creative freedom, and complex challenges to tackle? If so, join our Field Systems Engineering team at Zipline—where your work directly impacts lives every day.

Zipline’s long-range drone platform began operations in Rwanda in 2016. With a fixed-wing design capable of flying over 200 km on a single charge, our drones enable fast, reliable delivery of critical medical supplies to remote communities. From helping new mothers in Rwanda to saving snake bite victims in Ghana, Zipline’s technology has already served millions across the African continent—delivering thousands of life-saving products daily.

The Field Systems Engineering (FSE) team operates at the intersection of Engineering and Operations. We ensure that the equipment we design is safe, robust, and reliable—because lives depend on it. As a Field Systems Engineer focused on Software, you’ll play a crucial role in optimizing the performance and reliability of our long-range drone systems.

In this role, you’ll work closely with a range of cross-functional engineers and flight operators to identify friction points in how our software supports daily operations for our Platform 1 vehicle that is supporting operations around the world. You’ll lead anomaly investigations, define data-driven requirements, and drive execution of improvement projects to enhance system reliability, ease of maintenance, and overall usability. Whether you're implementing direct software improvements or coordinating efforts across multiple teams, your goal is to ensure the platform runs smoothly and efficiently. At times, you’ll step into a technical program management role—helping unblock other engineers, align priorities, and drive key projects forward. Success in this role requires an entrepreneurial mindset, strong technical foundation, excellent communication skills, and the ability to translate between the needs of operators in the field and the engineers building the system. If you thrive at the intersection of software and real-world impact, and enjoy bringing clarity and progress to complex systems, you’ll feel right at home here.

WHAT YOU'LL DO 

• Optimize and improve a complex, real-world system used daily by operators—delivering timely solutions while ensuring all changes are thoroughly validated for safety and reliability.
• Travel to our international operations centers to understand how the system works in the real world.
• Become the go-to expert on the existing flight software stack, along with its development, testing, and deployment tools.
• Support triage and risk assessment of emergent technical issues, balancing urgency with sound engineering judgment.
• Lead new projects to drive operations efficiency and increase system robustness.
• Drive data-driven analysis of system behavior using tools like Databricks to diagnose issues, evaluate performance, and quantify the impact of improvements.
• Build and maintain strong working relationships across the organization—from operations and systems engineering to software leads and regulatory partners.
• Identify, document, and drive improvements to the software development and deployment lifecycle for the long-range drone platform.
• Collaborate across teams—global operations, engineering, and leadership—to shape the strategic software roadmap for the platform.
• Design, coordinate, and execute high-impact testing campaigns that validate new features, improvements, or fixes in real-world conditions.

WHAT YOU'LL BRING  

Basic qualifications:

• 8+ years of professional experience in embedded software development, integration & test, mechatronics/robotics engineering, or similar, for hardware products in a safety-critical field, e.g. aerospace, robotics, medical devices, autonomous vehicles.
• Proficiency in one or more “strongly typed” language: Rust, C++, C
• Familiarity with software development practices, including version control (e.g. Git), testing, and CI/CD pipelines.
• Ability to analyze field performance data, and develop data analysis tools in languages like Python, SQL, MATLAB
• You are willing to work some nights/weekends and travel, including to international sites as needed
• You are eligible to work in the US

Preferred qualifications:

• Demonstrable history of assuming ownership of complex engineering problems, and driving them from inception to solution. 
• Experience leading engineering projects with multi-disciplinary teams to solve technical problems in a fast-paced environment.
• Excellent written and verbal communication skills
• Demonstrated engineering intuition, ability to think critically, and be comfortable with ambiguity. 
• Creative problem solver that can make design and development decisions with limited or imperfect data.
• Strong sense of accountability and integrity, and are not afraid to challenge the status quo. 
• Self-motivated with strong learning, multi-tasking, organizational, and documentation skills.

WHAT ELSE YOU NEED TO KNOW   

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

About You and The Role 

What You'll Do

• Develop dynamic models of complex systems and components that are core to our high fidelity 6DOF simulation.
• Analyze and improve the performance of existing and future vehicle designs through a combination of simulation and flight tests.
• Play a key role in deriving and verifying requirements for both hardware components and software interfaces, while balancing the technical need and broader product prerequisites as well as safety and regulatory standards.
• Identify and develop processes and tools to improve efficiency and protect against regressions.
• Design and implement onboard integrity tests to monitor how well the vehicle is flying and aid in understanding off-nominal performance and delivery failures, both in research and validation flights, as well as in the production fleet.
   
• Work in a high performing team, sharing your experience and improving efficiency while developing the next generation of logistics.

What You'll Bring

• Minimum of 4+ years of industry experience designing control, estimation algorithms and implementing them into embedded systems with the help of simulation tools to analyze performance
• Professional experience in one or more of the following areas: flight dynamics and control, dynamic modeling of complex physical systems, model identification, statistical analysis. Ideally you will have used your skills in these areas to successfully ship one or more complex products.
• Demonstrate enthusiasm and proficiency in both simulation practices and hands-on work with hardware, spanning from bench-level experimentation to comprehensive flight tests.
• Software skills in both technical computing (MATLAB, SciPi, Julia, etc) and embedded software (Rust, C, C++), with experience working in a large, complex, multi-developer environment.

What Else You Need to Know  

Role Summary
In this role, you will drive end-to-end reliability for our Solid-State Transformer (SST) platform, from concept to field deployment. You will lead cross-functional teams to mitigate program risks via Failure Mode and Effects Analysis (DFMEA)/Fault Tree analysis (FTA) and set clear reliability benchmarks for supplier selection. By developing advanced Physics-of-failure (PoF) modeling and performing expert-level RCA, you will ensure our hardware meets the demanding lifetime required for modern energy infrastructure. 

Responsibilities: 

• Assist in the setup and execution of reliability test plans for SST’s, including thermal mapping and accelerated life testing. 

• Utilize statistical methods to analyze test data, identifying trends in component or system-level failures. 

• Participate in DFMEA sessions, helping to document risks and track mitigation actions. 

• Perform initial root-cause analysis on failed components using lab equipment (microscopes, X-ray, etc.) and coordinate with senior engineers on complex investigations. 

• Assist in building reliability block diagrams and basic PoF models to predict product lifetime. 

• Work closely with the Design and Manufacturing teams to communicate test results and ensure reliability targets are met. 

• Maintain detailed records of test procedures, lab results, and reliability reports for key milestones. 

• Ability to travel occasionally to different facilities to support hardware deployment and testing. 

Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering. 

• Strong understanding of power electronics fundamentals and circuit analysis. 

• Basic familiarity with reliability statistics (Weibull distribution, MTBF) and a desire to master advanced Bayesian and Monte Carlo methods. 

• Comfortable working in a high-voltage lab environment; experience with basic diagnostic tools (Oscilloscopes, Multimeters). 

• Interest in learning reliability tools such as ReliaSoft (Weibull++, ALTA) or simulation software like Ansys Sherlock. 

• Basic proficiency in Python, MATLAB, or R for data processing and automation. 

• Excellent written and verbal skills; ability to translate complex data into clear, actionable updates for the team. 

• A "first principles" thinker who is eager to learn and thrives in a fast-paced hardware startup environment. 

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options. 

Power Systems Engineer, Energy Storage

Responsibilities will include: 

• Work with the product and controls design teams to translate power system requirements into site controller and inverter controller specifications, influencing system and plant-level control architecture
• Design, develop, and validate plant controller functions for battery energy storage systems including voltage regulation, frequency regulation, P–f and Q–V droop control, active/reactive power control loops, and fast frequency response
• Ensure control algorithms meet utility, ISO, and IEEE requirements including ERCOT interconnection specifications and IEEE 2800 compliance
• Build and strengthen in-house modeling capabilities for Redwood Energy’s products in PSCAD and PSSE, including model validation against field and controller-hardware-in-the-loop behaviors
• Set up and execute CHIL testing on platforms such as RTDS, OPAL-RT, or Typhoon HIL to validate inverter and site controller performance under grid disturbance and fault scenarios
• Develop automation tools for PSCAD and PSSE for interconnection studies using Python, C, or C++ 

 Desired Qualifications: 

• MS or PhD in Electrical Engineering with specialization in power systems and control systems (PhD preferred)
• Strong foundation in classical and modern control theory including PID tuning, state-space modeling, small-signal stability analysis, and frequency-domain analysis (Bode plots)  
• Expert proficiency in MATLAB/Simulink for control algorithm development and testing
• Experience developing and validating user-defined inverter or plant controller models in PSCAD and/or PSSE
• Hands-on experience with inverter-based resource modeling including grid-forming and grid-following control, PLL design, virtual inertia, and droop-based power control 
• Solid understanding of synchronous machine dynamics, excitation and governor systems, and system-level stability concepts (frequency stability, voltage stability, weak grid operation)
• Experience with real-time simulation and CHIL environments (RTDS, OPAL-RT, Typhoon HIL) is strongly preferred 
• Programming experience in Python, C, or C++ for model automation, controls integration, or testing workflows
• Experience performing or supporting transmission-level engineering studies such as transient stability, protection coordination, harmonics, and insulation coordination is a plus
• Familiarity working with utilities, ISOs, or renewable project developers is a plus

The Redwood Vision: Modernizing the Grid

Imagine being at the epicenter of the next great industrial shift. Just as the electric vehicle revolution redefined the car as a software-defined machine, Redwood Materials is redefining the global energy grid. We aren’t just managing batteries; we are building the "nervous system" for a circular energy economy.

Our San Francisco R&D team is architecting the transition from static, hardware-heavy infrastructure to dynamic, software-controlled ecosystems. We are proving that a sustainable, 100% renewable grid isn't just a goal—it’s a technical reality powered by superior control intelligence. We are looking for the "architects of the electron" to help us make fossil-fuel peaker plants a thing of the past.

Power Electronics Controls Engineer

As a Power Electronics Controls Engineer, you will lead the design and implementation of the intelligent "brains" for our next-generation Battery Energy Storage Systems (BESS) and mixed-asset energy sites. You will be responsible for the entire journey of our control systems—from white-space conceptualization and advanced modeling to real-world grid impact. Your work will ensure that recycled and new battery assets work in perfect harmony to stabilize the grid and optimize high-power conversion at an industrial scale.

Responsibilities will Include:

• Software-Defined Power: Design and optimize advanced control algorithms for high-power BESS, focusing on grid-forming, grid-following, and complex multi-asset energy site synchronization
• High-Power Conversion Architecture: Develop bidirectional DC/DC and AC/DC control schemes for industrial-scale storage, ensuring peak efficiency, thermal stability, and safety across all operating modes
• Digital Twin Development: Build high-fidelity "Digital Twins" of power stages and grid environments using PLECS and MATLAB/Simulink to predict system behavior under extreme transient and fault conditions
• Virtual & Hardware Validation: Architect and lead comprehensive Hardware-in-the-Loop (HIL) testing environments (Opal-RT/Typhoon) to rigorously stress-test control firmware before deployment
• Circular Asset Integration: Collaborate with battery and systems teams to implement control strategies that optimize the performance and longevity of mixed-asset arrays, including the integration of recycled battery chemistries
• Cross-Functional Leadership: Partner closely with electrical, firmware, and thermal engineers to define the long-term roadmap for modern, resilient energy storage site controllers

Desired Qualifications:

• Educational Depth: MSc or PhD in Electrical Engineering with a specialization in Power Electronics Control Systems. (MSc requires 3+ years of relevant industry experience; PhD preferred)
• Topology Mastery: Deep theoretical and practical mastery of high-efficiency power conversion. You are an expert in resonant topologies (LLC, CLLC, DAB) and advanced multi-level architectures, specifically Flying Capacitor (FC) and Active Neutral Point Clamped (ANPC)
• Control Theory Expertise: Proven ability to design robust closed-loop controllers (Bode, Nyquist, State-Space) and implement them effectively on digital signal processors (DSPs) or microcontrollers
• Modern Toolchain:
  • Expert-level MATLAB/Simulink and PLECS for modeling and simulation
  • Strong proficiency in C for real-time embedded systems
  • Experience with Python for automation, scripting, and data analysis
• Proactive Innovation: A self-driven attitude with the ability to navigate the ambiguity of a fast-paced R&D environment. You enjoy building the framework as much as you enjoy writing the code
• Grid Standards: Familiarity with grid-interconnection codes (e.g., IEEE 1547, UL 1741) and their implications for controls development is highly desirable

Internships at Planet:

Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. 

Program Dates:

• June 1 - August 21
• June 22 - September 11

About the Role:

Planet is working on the next generation small satellite bus that will host a high resolution optical imaging payload (Pelican) and a hyperspectral payload (Carbon Mapper). Planet has continuously iterated and developed small spacecraft communication systems including board level hardware, antennas, and ground station equipment that produce record data rates. Our system consists of transceivers in several bands, as well as a worldwide network of ground stations. 

We are seeking an RF/Optical Communications summer intern to develop our next-generation onboard, ground radios, modems and antenna systems that push the frontiers of satellite communications. As a RF/Optical Comms Intern you will assist the team in making evolutionary and revolutionary improvements in their performance, reliability and cost, including the design of next-generation S-band through Ka-band radios, Intersatellite Optical communications and a variety of antennas as well as contribute to various ongoing projects. You will participate in design and implementation of communication systems, PCB layout projects and interface with cross functional teams - electrical, FPGA, DSP, software and mechanical engineers to address challenging design issues.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Impact You'll Own:

• RF/MW hardware transceiver and circuit design, simulation (Spice, ADS, HFSS), instrumentation, test and characterization.
• Modem design, implementation, validation and verification
• Antenna design, simulation and testing
• Digital communications theory and associated signal processing algorithms for both narrowband and wideband data transmission systems
• Software Defined Radio (SDR) platforms and respective signal processing toolkits (ex.: GNURadio)
• Optical communication systems integration and test
• Validation and Verification of radios and antennas pre-shipment and validation of radio performance on orbit after satellite launch.

What You Bring:

• Graduate or Ph. D. candidate pursuing a dissertation in a related RF, Optical Communications field. 
• Passion for RF/MW, communications, electromagnetics, and signal processing
• Ability to adapt and learn a multitude of technical skills related to the position and other building blocks for space and ground station applications.
• Excellent documentation, presentation and communication skills.

What Makes You Stand Out: 

• Experience with Optical comms systems
• Class projects, prior internships or contribution to open source projects in the areas of digital signal processing and digital communications
• Understanding of finite word length effects in the implementation of DSP algorithms.
• Knowledge of mixed signal (A/D, D/A), digital, FPGA and uProcessor design, bringup, interfacing and prototyping.
• Experience in Linux, Python, MATLAB/Simulink, and data analysis tools
• Experience with at least one RF/MW design and simulation suites (ADS, HFSS, Microwave Office)
• Experience utilizing AI tools and agentic workflows for rapid development.

Application Deadline:

April 30, 2026 at 11:59p PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Commuter Benefits
• Paid time off for holidays and company-wide days off
• Internet reimbursement
• Access to LinkedIn Learning

Compensation:

The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

ESA seeks a highly motivated Junior Coastal Engineer with 0-3 years' experience to join our team of hydrologists, geomorphologists, ecologists, landscape architects and engineers in the Northern California region. This position will support a variety of multi-objective tidal wetland and coastal restoration design projects in the San Francisco Bay Area, Sacramento/San Joaquin Delta, California Coast, and throughout California. We are looking for a dedicated and enthusiastic team member with a passion for ecosystem restoration and the desire to learn and grow.  This is a full-time salary exempt role with hybrid work expectations.  Candidates must be able to work in office hybrid in one of the following office locations: San Francisco, Oakland, Sacramento, or Petaluma and be available as needed to travel to other ESA office locations for in-person team collaboration. 

Who You Are 

• You have a Bachelor’s degree in Civil/Environmental Engineering or a related degree and directly relevant qualifications, and EIT certification or the ability to obtain it within one year;
• You have education, training, and/or work experience in one or more of the following: coastal zone or estuarine habitat restoration, land management, geomorphology and/or ecology; coastal engineering; estuarine hydraulics and hydrology.
• Experience in design and modeling software (AutoCAD Civil 3D, ArcGIS, HEC RAS, HEC HMS, XBeach, SWAN etc.) and programming (MATLAB, Python) are desirable but not required.
• You are an effective team member with excellent oral and writing skills who can work independently and collaboratively in a multi-disciplinary environment.
• You can communicate basic technical information clearly and concisely to individuals and small groups.
• You are adept at using various communication tools to effectively combine in-person and remote teamwork.
• You are able to work hybrid in office in San Francisco, Oakland, Sacramento, or Petaluma.  

What You Will Do for ESA

• Support design and analysis for ecosystem restoration, climate change resilience, habitat enhancement, engineering with nature, flood management, and other water resources and civil engineering projects under direct supervision of a more senior engineer or hydrologist.  
• Assist in the preparation of engineering analyses, design plans and cost estimates, reports, permit applications, and other project documentation. Apply hydrologic and hydraulic models, GIS, and other tools to evaluate design alternatives. Using GIS or other software platforms to evaluate habitat conversion in both the near and long-term accounting for climate change. Have the opportunity to collect hydrographic, topographic, and related field data to support engineering analysis and design.  
• Consistently demonstrate your solid writing and attentive listening skills, contributing to complex environmental reports, and participating in meetings with ESA staff and with our clients. This position will lead to project management experience over time. 
• Thrive in a fast-paced, challenging environment and be able to balance multiple responsibilities and deadlines, while working on a team or independently. Provided the appropriate direction, resources and support, you will independently solve simple to complex problems. 
• Please note, as a part of the interview process, you may be asked to prepare a presentation and/or provide a writing sample.

What’s Special About Our Team

Our EH&D team includes engineers, engineers, hydrologists, geomorphologists and landscape architects. Much of our work is oriented toward the restoration of habitat and ecosystem function, often as part of multi-benefit projects. As a highly-integrated team, we value creative thinking, teamwork, and multi-disciplinary and cross-disciplinary engagement and integration. 

To read about some of our exciting projects, check out these links Dutch Slough, Lower Walnut Creek, Heron's Head Park Shoreline Resilience, Tomales Bay Living Shoreline, and Surfers' Point. 

What’s Special About ESA

Joining ESA means becoming part of a close-knit team of environmental professionals who contribute to outstanding projects, improve environmental stewardship, and advance a more sustainable and resilient future for our communities and wild places.

At ESA, we provide benefits such as medical, dental, and vision insurance (paid at 70% for you AND your family), annual allocations of company share through our ESOP, a 401(k) plan with company match, and paid vacation, sick leave, and holidays, to name a few.

We also provide specific programs whether you want to further your technical expertise, sharpen your business acumen, or help lead the next generation of employee-owners. We want to support you in reaching your career goals through tuition reimbursement, professional development bonuses, and attendance at conferences.

About The Role

HP IQ’s Wireless Technology Team works cross-functionally with electrical engineering, software, product design, industrial design, program management, and operations to deliver successful products to market. As a Senior Antenna Engineer, you will drive the product from conception to production. This includes simulations, prototyping, measurements (in the field and in the lab, both active and passive), writing antenna specifications and test plans, reviewing compliance lab reports, and leading efforts to resolve antenna-related challenges that arise.

What You Might Do

• Lead the architecture and end-to-end design of high-performance antenna systems across the full product development lifecycle, from concept through mass production.
• Define antenna and RF system strategy for next-generation wireless products, aligning technical direction with product roadmap and business goals.
• Drive EMI and RF desense mitigation through advanced simulations and testing to meet regulatory and performance requirements.
• Partner with manufacturing teams to ensure robust, high-quality antenna system implementation.
• Utilize industry-standard tools (XFDTD, HFSS, CST, etc.) for accurate simulation modeling; perform material characterization, prototype development, and anechoic chamber measurements (ETS).
• Generate clear, data-driven reports and presentations to communicate findings and design decisions.
• Innovate antenna solutions optimized for small form-factor devices.
• Collaborate closely with internal cross-functional teams and external JDM/CM partners to successfully launch wireless products to market.

Essential Qualifications

• 10+ years of experience shipping high-volume consumer electronics products with multiple wireless communication technologies.
• Deep expertise in antenna design and electromagnetics, with proven experience delivering antennas for consumer electronics and wearable devices.
• Proficient in EM simulation tools (ANSYS HFSS, CST) and skilled in Matlab or equivalent platforms for data analysis and post-processing.
• Hands-on experience with RF lab equipment, including 3D anechoic chambers, VNAs, and spectrum analyzers for antenna and RF subsystem validation.
• Strong ability to balance cost, performance, and form factor trade-offs in antenna development for compact wearable designs.
• Solid understanding of carrier certification processes and regulatory compliance (FCC, CE, etc.) to ensure product readiness for global markets.
• Hands-on experience measuring system performance parameters such as sensitivity, EVM, S-parameters, emissions, stability, and output power.
• Proven experience working in highly creative, fast-paced, and collaborative teams alongside industrial designers, software engineers, and UX designers.
• Ability to travel to factories to support builds.

Preferred Skills

• Experience with Python and ADS for RF simulation and test automation.
• Experience with schematic capture and circuit board layout design tools.
• Knowledge of PCB design and efficiency in using Cadence tools (CIS, Allegro).
• Ability to drive tasks independently and communicate issues/root-cause analysis clearly.
• Strong presentation skills with experience engaging senior leadership.

Salary range: $140,000 - $225,000

About The Role

HP IQ is seeking a Senior Power Systems Engineer to drive end to end system architecture, modeling, and optimization for wearable platforms. The candidate will build power models, define system use cases and operating modes, partner with product and engineering teams to meet aggressive power targets, and define manufacturing tests and field telemetry for NPI.

The ideal candidate brings strong systems thinking, hands-on experience with low power architectures, and the ability to build models and telemetry to drive tradeoffs from SOC level to board level to maximize user runtime.

What You Might Do: 

• Power architecture responsibility for a wearable device covering SoC states, sensor, audio, and memory architecture tradeoffs at board level.
• Battery, PCM, and charging profile definition and validation
• Design power experiments, test plans, and measurement & telemetry mechanisms across firmware and hardware to optimize power and performance.
• Build and maintain system-level power models to model expected power consumption for user profiles. Map power models by subsystem, correlating modeled behavior with instrumented measurements.
• Define user profiles, power and sleep states, and low-power operating modes
• Partner closely with product, hardware, firmware, manufacturing, and regression QA to drive alignment and execution toward power targets.

Essential Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related technical field.
• 6+ years of experience in power systems, systems engineering, or related domains.
• Experience optimizing multi-core SoCs, understanding of power systems at the platform or system level.
• Experience building and correlating power models to instrumented tests.
• Ability to communicate technical concepts clearly and collaborate across engineering teams.

Preferred Skills

• Experience with ARM-based embedded systems and profilers, including power supplies and power management ICs.
• Experience with power and performance characterization, validation, and correlation to real system behavior using bench equipment and scripts in python or matlab.
• Prior experience in computing platforms, servers, workstations, or embedded systems.
• Demonstrated ability to influence system design decisions using data and analysis.
• Experience working in a power-focused systems or architecture team.

Salary Range: $170,000 to $240,000

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.

We are looking for an experienced Controls Software Engineer who is passionate about safety-critical systems to join our Motion Planning & Controls team.

In this role, you will:

• Be responsible for designing and implementing our feedback, control, and actuation strategies using both established & novel techniques
• Architect, develop, and test reliable, redundant, and safety-critical software that controls fully-loaded trucks driving on the road
• Characterize the vehicle platform (e.g., steering, braking, throttle/engine management, dynamics) to develop models that can be used for precise motion planning, simulation, and controls
• Work on fundamental problems in redundant actuation, degraded operation, and fail-safe control
• Collaborate with other teams at Kodiak (e.g. hardware, motion planning, and systems engineering) to deliver a robust vehicle control architecture (for example: requirement specifications, test plans, test documentation, and implemented testing at all levels of integration)

What you’ll bring:

• A strong background in robotics, controls, optimization, and mathematics (MS, PhD, or equivalent experience)
• Developed, tested, and tuned controllers for mobile autonomous robots, ideally trucks, cars, or flying vehicles
• Performed system identification, modeling, simulation, or other characterization for systems with complex dynamics
• A strong theoretical foundation paired with practical experience in controls, system modeling, and/or redundant architectures
• A focus on end-to-end vehicle safety
• Software development experience writing production-level C or C++

Bonus points if you have:

• Experience with software design and implementation in safety-critical domains (e.g. automotive, aerospace, medical, etc)
• Written low-level drivers for software/hardware interfacing using protocols such as CAN or ethernet
• Written efficient code running on resource-constrained embedded systems with a real-time operating system
• Experience with formal verification methods, writing requirements, and systems engineering processes
• Comfortable with Python, Matlab/Simulink, or other simulation/analysis tools used in feedback system design

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

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.