Engineering Jobs in Sunnyvale Ca Remote

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Flight Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define navigation system requirements in collaboration with internal and external stakeholders

• Analyze, source, and select sensor solutions for use in the navigation system

• Develop sensor models in simulation for evaluation of the navigation system

• Implement state estimation algorithms in flight software

• Establish test methods to ensure compliance with requirements, best practices, and regulatory standards

• Evaluate the navigation system performance via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies

• 8+ years of professional experience developing and testing navigation algorithms

• Professional experience with developing C/C++ flight software and Python data reduction & analysis

• Excellent written and verbal communication skills

Preferred Criteria

• PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: probability theory; fault detection and exclusion (FDE); sensor error/noise modeling; or GPS-denied navigation

• Experience developing software for safety critical applications

• Experience with navigation system certification

We are building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the whole team, you will contribute to a novel navigation system that drives our mission forward.

Must be willing to travel 25% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $200K - $300K

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Sr. Harness Engineer at Reliable Robotics, you will be a part of the Vehicle Design and Integration team and will report to the Vehicle Design and Integration Engineering Manager. This team is a small group of highly motivated engineers designing, integrating, testing, and flying advanced mechanical and electrical systems. The harness engineer is a very cross-functional role at the convergence of the avionics, mechanical, integration, and production teams, with significant hands-on work designing, building, integrating, and testing our harnesses, enclosures, and mounting hardware; expect to broaden your design and application experience. This position can be filled locally or hybrid with frequent travel to our facility in Mountain View, California.

Responsibilities

In your role as Sr. Harness Engineer you will work with the avionics, mechanical, and integration teams to define the harness architecture, including routing, bulkhead planning, and manufacturing and integration processes. You'll be responsible for the detailed design of both flight and test harnesses, and you'll be working with the production technicians and A&Ps to get the harnesses built and installed on the aircraft. You'll have the opportunity to design, install, and test your hardware on a remotely operated aircraft, and you'll be an instrumental part of how our hardware teams come together on the airplane.

Basic Success Criteria

• BS in Mechanical Engineering, Electrical Engineering, or equivalent industry experience

• 5+ years experience in electrical harness design

• Ability to route harnessing (both in CAD and physically in the airplane) in a strategic manner

• Experience defining routing and bulkhead requirements

• Experience working with connectors, backshells, EMI shielding, and cable/wire protection methods

• A love of spatial packaging

• Be logical, inquisitive, and eager to both teach and learn

Preferred Criteria

• 8+ years experience in harness design and avionics packaging

• Experience performing design trades for and detail design of aerospace flight harnesses

• Experience with NX routing and Capital Harness Designer

• Experience working with safety critical hardware

• Experience working on certification-path aviation development projects

• Experience testing hardware to DO-160 requirements

We're a growing, motivated, fast-paced team of aviation professionals. We move quickly, and everyone wears multiple hats. We're looking for someone who is diligent and detail-oriented who can join our team and make an immediate impact.

The position will be located at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $180K - $260K

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

The mechanical team is a small group of highly motivated people designing, testing, and flying advanced mechanical systems. We enjoy cradle-to-grave hardware ownership and hands-on build, test, and integration of our designs. As a Sr. Mechanical Engineer at Reliable Robotics, you will be an influential part of the Mechanical Engineering team helping to drive engineering methods and product quality. The hardware focus is on high reliability safety critical mechanisms and structures, with significant cross-functional development with the Systems, Avionics, GNC, Software, Manufacturing, and Flight Test teams. The position will be located at our facility in Mountain View, California, reporting to the Mechanical Engineering Manager.

Responsibilities

You will design, analyze, build, test, and fly a system of actuators, mechanisms, and structural modifications to enable remote piloted aircraft. Own your hardware from initial conception through flight test and certification...this is cradle-to-grave engineering with hands-on build, test, and integration. Lead cross-functional trades and drive performance and design decisions to closure. You will bring a sense of humility, and be ready to both learn and teach.

Basic Success Criteria

• BS in mechanical or aerospace engineering, or equivalent experience

• 5+ years professional experience developing mechanical systems

• Mastery of at least one of the following areas: Design, Analysis, Manufacturing, Test, or Certification

• Demonstrated successful project ownership

Preferred Criteria

• Demonstrated understanding of structural analysis and failure modes of mechanical systems

• Ability to assess and prioritize mechanical architectures for safety and reliability

• Previous experience with aircraft or other safety-critical mechanical systems

• Experience developing engineering infrastructure such as CAD systems, configuration management, PLM, ERP, and MRP systems

• Design for manufacturability and volume production

• Eagerness and ability to mentor junior engineers

• Proactive problem solver

• Excellent written and verbal communication skills

Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $180K - $260K

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Who We Are

We are Skybound.

We love creators. We love fans. We love thrilling games, indelible images and moving stories. Our roots are in comics, but our brands extend to video games, television, movies, merchandise, and live experiences. We take special pride in original tales, fresh characters, and diverse voices.

From well-known franchises to freshly-minted originals, we offer the chance to join brilliant creators shaping a new generation of entertainment in a concentrated, agile environment where every perspective matters, and any idea can create a breakthrough.

Opportunity

Skybound is looking for an experienced and passionate Senior Systems Designer to help build a thrilling new game franchise. The Senior Systems Designers create rewarding loops that help players set goals, progress, and stay engaged over multiple play sessions. They craft and tune player advancement and rewards across the entire game.

You will collaborate closely with the Game Director, department leads, and cross-disciplinary teams to define and drive the strategic vision for player progression and meta systems. You’ll mentor other designers, establish best practices, and ensure the systems design team delivers high-quality, scalable solutions that support both gameplay and business goals.

If you're passionate about building compelling systems, love mentoring others, and thrive in a creative, combat-focused environment, we’d love to hear from you.

Reports: This position will report to Game Director.

Responsibilities: Responsibilities include, but are not limited to:

• Lead the vision and execution of player progression, meta systems, and engagement loops across single and multiplayer experiences.
• Define and drive KPIs for progression systems that align with player satisfaction and business goals.
• Mentor and guide systems designers, fostering a culture of excellence, collaboration, and innovation.
• Own major feature areas from concept through implementation, ensuring quality and consistency across the game.
• Collaborate cross-functionally with engineering, art, UX, and production to ensure systems are well-integrated and technically feasible.
• Establish and evangelize best practices for systems design, documentation, and tool usage.
• Anticipate and resolve design challenges, proactively improving workflows and pipelines.
• Playtest and iterate on systems regularly, using data and player feedback to refine and optimize.

Requirements

• 10+ years of experience in the games industry, with a focus on systems design and progression.
• Proven leadership experience, including mentoring designers and leading cross-functional initiatives.
• Shipped at least one AAA title with significant ownership of progression or meta systems.
• Deep understanding of player psychology, engagement strategies, and content pacing.
• Strong analytical skills, with the ability to translate complex systems into clear, actionable designs.
• Experience collaborating with engineering on tool development and pipeline optimization.
• Excellent communication and documentation skills, with fluency in PowerPoint, Word, Excel, Visio, etc.
• Strategic mindset, balancing creative vision with technical and business constraints.

Preferred Qualifications

• Experience with Unreal Engine, including scripting and integration into production pipelines.
• Strong technical scripting skills and a willingness to learn new tools and technologies.
• Passion for combat-oriented games, player progression, and Skybound’s unique properties.

Job Type: Regular, Full-Time

Salary Range: $125,000 - $165,000

• Actual base salary is dependent on several factors including but not limited to: market dynamics, location and region, experience, specialized skills/training (education), level of responsibility, budgetary considerations, tenure at the company (for current employees), etc.
• The salary range listed is just one component of the total compensation package for employees
• Compensation decisions are dependent on circumstances of each role

Skybound offers a wide array of benefits including medical, dental, vision, life insurance, flexible spending and dependent care accounts, as well as free counseling through our Employee Assistance Program (EAP). We also offer a 401K plan with 4% match, 12 weeks of paid parental leave, generous time off, wellness benefits, and tuition reimbursement.

Company Overview

Skybound is a multiplatform content company working closely with creators and their intellectual properties, extending stories and universes to new platforms, including comics, television, film, tabletop and video games, books, digital content, events, and beyond. We are home to critically-acclaimed global franchises, including The Walking Dead and Invincible.

Skybound Games produces, publishes and distributes video and tabletop games across all genres, including the multi-million-unit selling The Walking Dead video game series. In addition to our wholly-owned franchises, we work with independent developers to foster and create original games with compelling characters and worlds, strong creator and artistic focus, and innovative approaches to engaging genres.

Invincible is one of Skybound's tentpole franchises (celebrating 20 years!) and spans the world of comic books, merchandise, video games, and the critically acclaimed adult animated television series on Prime Video. Now in its second season, the television show has consistently ranked as one of Prime Videos top-streamed series with a 99% score on Rotten Tomatoes. Based on the groundbreaking comic book by Robert Kirkman, Cory Walker, and Ryan Ottley, Invincible revolves around 18-year-old Mark Grayson, who’s just like every other guy his age—except his father is (or was) the most powerful superhero on the planet. Still reeling from Nolan’s betrayal in Season One, Mark struggles to rebuild his life as he faces a host of new threats, all while battling his greatest fear - that he might become his father without even knowing it.

The show stars Steven Yeun, with Sandra Oh, Zazie Beetz, Grey Griffin, Chris Diamantopoulos, Walton Goggins, Gillian Jacobs, Jason Mantzoukas, Ross Marquand, Khary Payton, Zachary Quinto, Andrew Rannells, Kevin Michael Richardson, Seth Rogen, and J.K. Simmons. Executive producers include Skybound's own Kirkman, David Alpert, and Margaret M. Dean.

Equal Opportunity Employer

At Skybound we value diversity and are looking for extraordinary employees of all backgrounds! Skybound is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, citizenship, age, genetic information, disability, hair texture or veteran status. In addition to federal law requirements, Skybound complies with all applicable state and local laws governing nondiscrimination.

Skybound will consider applicants with criminal histories in a manner consistent with the CA Fair Chance Act and Los Angeles Fair Chance Initiative for Hiring Ordinance.

For more information on our Privacy Policy, visit: working/work at home options are available for this role.