Information Technology Jobs in Mountain View, CA

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 Accountant at Reliable Robotics, you will report to the Controller. You will take ownership of a wide breadth of accounting responsibilities to maintain and improve upon the processes and standards that will guide Reliable into the future. You'll work with stakeholders across the company and within the finance team, developing your experience to help set the direction for our financial governance.

Responsibilities

In your role as a Senior Accountant, you will be responsible for several accounting functions within the company. You will execute and maintain high-quality work to ensure accuracy and completeness while collaborating with outside parties on a variety of tasks detailed below:

• Support account reconciliations, flux analysis, and month end close activities

• Manage Day-to-day functions with Procure-to-Pay and Order-to-Cash cycles

• Assist with our company's financial audits including audit schedule support

• Support consolidations with our company's subsidiary

• Prepare hourly & salaried payroll for semi-monthly processing

• Credit card and expense reimbursement program management

• Support data migration and UAT testing for ERP system implementation

• Coordinate tax filing compliance with outside tax compliance team: federal, state, etc.

Basic Success Criteria

• BA or advanced degree in Finance, Accounting or Economics

• CPA certification or Strong US GAAP knowledge

• Proven knowledge of bookkeeping and accounting principles, practices, standards, and laws

• Manufacturing experience

• 2-5 years of public/private accounting experience

We're a growing, motivated, and fast-paced finance team. 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 role is hybrid on-site in Mountain View, CA.

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: $120K - $175K

Apply for this Job

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 Client Platform Engineer, you will be a part of our IT and Security team. Your work will have a key impact on the development of Reliable Robotic's internal infrastructure and processes. You will work as part of the IT and Security team towards building, deploying and managing tools. You will be working on building or improving existing automation to support standardization efforts, with a focus on end-user facing endpoints.

Responsibilities

In your role as a Client Platform Engineer, you will be responsible for the design, implementation of tools supporting the business internal needs and standards, as well as support of the IT related needs of our end-users. You will be involved in the design and implementation of tools and their supporting infrastructure, to improve the daily experience of our users across the entire business. This will include managing SaaS services, managing physical infrastructure, and cloud infrastructure to support the needs of the teams at Reliable. You will be responsible for identifying additional opportunities for standardization, improvement of the user experience, and training various teams, including the IT/Security teams you will be working on, for redundancy when new tooling is introduced.

Basic Success Criteria

• 5+ years of experience supporting business needs in IT

• Excellent troubleshooting skills

• Basic networking skills and understanding of basic network services (vlan/routing/wifi/dhcp/dns/etc)

• Previous management of in-office infrastructure (wifi, printing, etc)

• Experience with MDM platforms to manage Apple devices (macOS, iOS, iPadOS) and Windows 11 devices

• Experience with configuration management systems such as Puppet (preferred), Chef or Ansible

• Scripting skills in various languages (Python, bash, powershell)

• Understanding of SSL certificates, and PKI infrastructure

Preferred Success Criteria

• Ability to explain complex concepts to users or colleagues

• Ability to troubleshoot problems remotely (over Slack, Google Meet, or others)

• Familiarity with Google Workspace management (access and management of Google services, integration of Google with other services, and the security mechanisms available in those environments)

• Experience with virtualization/containerization, both in AWS and GCP, KVM, LXC, and Docker

• Development tooling experience (git, github, vscode, pip3)

• Experience with AWS services (IAM, ec2, s3, route53, SSO, lambda, etc)

• Application (re)packaging and management (msi/pkg/deb)

• Experience in environments where data management, classification and handling is critical

• Experience with end-user supports with software and computing devices

• Mobile device management and BYOD policies

This position is based at our facility in Mountain View, California.

Must be willing to travel up to 10% 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: $125K - $185K

Apply for this Job

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. Hardware Test Engineer at Reliable Robotics, you will be a critical part of the Hardware Test team. This is a small team of broadly experienced engineers that strive to ensure that all hardware being produced meets the stringent requirements for aviation. You will be one of the essential interfaces between the design, production, and flight test teams and will be exposed to a wide variety of technical challenges.

You will be architecting automated test stands to replicate extreme flight conditions on our hardware and mechanisms that will serve as the backbone of our qualification testing. You will help to break our development hardware, help root-cause the failure modes, and provide critical input in redesigning it. You will be writing the software and building the hardware platforms for the command, control and data collection systems that will test our systems to rigorous aerospace standards. You will be a technical leader on a team eager to learn and grow.

Responsibilities

• Full ownership of the design, build, and maintenance of mechanical or electrical test stands for development testing, production acceptance testing, functional and environmental qualification testing

• Automate the repetitive aspects of the test stands

• Author, execute, and audit test plans, procedures, and reports

• Work closely with design engineers and flight test engineers to design, build, test and improve flight hardware

• Help the team grow and provide mentorship to peers

Basic Success Criteria

• B.S. Degree in Mechanical, Electrical, Aerospace, Computer Science, Software Engineering or equivalent industry experience

• 5+ years of industry experience testing hardware in a regulated industry

• Professional knowledge of ECAD tools such as Altium OR MCAD tools such as NX

• Experience with software design and implementation in Python or C/C++

• Strong understanding of mechanical or electrical engineering fundamentals

• Eagerness for hands-on work - integration of sensors, building test fixtures, diagnosing and debugging equipment and hardware

• Proven ability to methodically diagnose, document, and solve hardware problems

• A demonstrated passion for mechanical, electrical, or electromechanical hardware

Preferred Criteria

• 8+ years experience in aerospace test planning and execution

• A history working on and around aircraft

• Prior experience with aerospace qualification testing standards (MIL-STD-810, RTCA DO-160, or similar) and the aircraft certification process

• Comfort reviewing technical designs and working from drawings, schematics, layouts, assembly/procedures, master parts lists, and other controlled documentation

• Mastery of test instrumentation and data collection methods; ability to design a data acquisition system from the ground up

• Working understanding of measurement and data analysis; ability to clearly present technical data and state its limitations

• Demonstrated proficiency building/fabricating machine parts, cable assemblies, or other testing, integration, or assembly experience

• Eagerness to learn, teach, and adapt; help us grow as both a development and production operation

As a member of our team, you will be a pivotal contributor to the development of novel hardware that will transform the future of flight. From component level thermal testing to instrumenting our aircraft with a sensor suite for flight testing, you will closely interface with many vital parts of our system. The cross-functional nature of this role also lends itself to mentoring opportunities across the entire company.

This role is located onsite at our HQ in Mountain View, CA.

Must be willing to travel 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

Apply for this Job

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. Electrical Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. We develop the wide variety of computing, sensing and actuation, power, and communications systems that are at the core of our automation system. We're looking for a broadly experienced individual to apply their electrical engineering and software automation skills to develop robust test solutions for complex hardware in a safety-critical environment. This is a clean-slate opportunity to grow our primitive test operations into a production worthy operation.

Responsibilities

• Lead the development of automated test equipment systems for functional, environmental qualification, and manufacturing acceptance tests

• Analyze test results to identify failure modes, lead root cause investigations, and drive improvements back into designs

• Author, execute, and audit test plans, procedures, and reports

• Collaborate with cross-functional teams to facilitate successful testing campaigns

• Drive continuous improvement to test system infrastructure, processes, and practices

Basic Success Criteria

• Bachelor's degree in electrical engineering, computer engineering, or equivalent experience

• 8+ years of full cycle electronics hardware test or development experience in a professional environment

• Strong knowledge of electrical engineering fundamentals

• Extensive experience with test equipment, measurement techniques, and processes for hardware verification

• Experience with programming/scripting languages (C, C++, Python) and ability to develop and maintain test software

Preferred Criteria

• Advanced degree in electrical engineering or computer engineering

• Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar

• Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE

• Excellent written and verbal communication skills

• Ability to work both independently and as a leader of a high performing team

This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems. This role also has the potential to lead into a leadership role in a player/coach capacity.

This role is on-site in Mountain View, CA.

Must be willing to travel 30% of the time.

The estimated salary range for this position is $188,000 to $250,000/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: $188K - $250K

Apply for this Job

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.

US based applicants only$189,721—$332,012 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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

Apply for this Job

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

Apply for this Job

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.

US based applicants only$138,905—$285,982 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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 600 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, machine learning, statistics, or related field
  
• 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:
  
  
  • 
    
  • 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

#LI-SM4

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.

US based applicants only$163,418—$285,982 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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 Mechanical Engineer at Reliable Robotics, you will be part of the Mechanical Engineering team. This is a small team 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. 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

• Design, analyze, build, test, and fly a system of actuators, mechanisms, and structural modifications to enable remote piloted aircraft

• Work with a team of top performing mechanical engineers alongside the greater Reliable team of outstanding Electrical, Systems, Software, GNC, Manufacturing, and Flight Test engineers

• Own your hardware from concept through flight test and certification . . . this is cradle-to-grave engineering with hands-on build, test, and integration

• 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

• 2+ years professional experience developing mechanical systems

• Experience with current CAD and FEM packages

• Experience in innovative system designs

• Excellent written and verbal communication skills

• Attention to detail

Preferred Criteria

• Expertise in electromechanical or mechanical engineering

• Demonstrated ability to drive designs to closure

• Experience taking designs through FAA certification

• Design for manufacturability and volume production

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

• Flight and/or ground test familiarity or experience

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

The estimated salary range for this position is $118,000 to $170,000/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: $118K - $170K

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