About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments.

This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.

The Team

The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms.

The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems.

This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Responsibilities and Duties

• Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.
• Support engineering bring-up activities, including component validation and firmware interaction testing.
• Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.
• Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements.
• Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles.
• Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability.
• Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation.
• Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics.
• Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.

Candidate Profile

Essential

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
• Strong experience with server hardware architectures and board-level debugging.
• Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures.
• Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure.
• Strong collaboration skills and ability to work effectively in fast-paced engineering environments.
• Excellent written and verbal communication skills.

Desirable

• Experience supporting prototype or pre-production hardware bring-up.
• Familiarity with data center facilities, including liquid cooling and power distribution systems.
• Experience using Python, Bash, or automation tools for hardware validation or troubleshooting.
• Exposure to structured failure analysis and reliability engineering methodologies.

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments.

This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.

The Team

The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms.

The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems.

This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Responsibilities and Duties

• Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.
• Support engineering bring-up activities, including component validation and firmware interaction testing.
• Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.
• Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements.
• Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles.
• Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability.
• Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation.
• Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics.
• Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.

Candidate Profile

Essential

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
• Strong experience with server hardware architectures and board-level debugging.
• Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures.
• Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure.
• Strong collaboration skills and ability to work effectively in fast-paced engineering environments.
• Excellent written and verbal communication skills.

Desirable

• Experience supporting prototype or pre-production hardware bring-up.
• Familiarity with data center facilities, including liquid cooling and power distribution systems.
• Experience using Python, Bash, or automation tools for hardware validation or troubleshooting.
• Exposure to structured failure analysis and reliability engineering methodologies.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• As a Process Engineer for Prep and Bicolor at Scout Motors, you will design, implement, and enhance Bicolor processes, addressing any equipment and process challenges that arise. You will ensure overall quality (process and material) by setting and following detailed process standards. This role involves optimizing Quality, consumptions and workflow within the bicolor booth and coordinating with various departments to address any factors affecting paint shop operations. Lead specific projects or functional areas as needed to support business objectives.
• Collaborate with Production and Maintenance personnel to scope, order, and implement new processes and equipment.
• Develop processing standards for new product launches.
• Act as a technical resource for the paint department, offering guidance to technicians and work teams, and lead cross-functional paint process improvement projects with operations, maintenance, and controls teams.
• Serve as a critical liaison between the paint department and other process partners such as Product Design, Assembly, Maintenance, Safety, and Quality.
• Creating and improving work instructions and workflow designs to improve manufacturing operations.
• Oversee the development, assembly, or procurement of new tooling and modifications to existing fixtures to ensure efficient production methods.
• Conduct hands-on training for manufacturing employees on products, processes, equipment, and tooling, and lead company safety programs including inspections, training, and documentation.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Blythewood, South Carolina, United States.
• This role requires full time in-office attendance, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. We expect the Process Engineer Prep and Bicolor to bring a unique set of qualifications and experience to excel in this role. Key qualifications include:

• Ensure compliance with Safety, health, and environmental regulations in Paint processes.
• Follow, monitor, set and analyze Body preparation and Bicolor production processes to maintain Quality excellence and performance.
• Act as the primary point of contact and reference for bicolor paint suppliers
• Perform process audits and evaluations.
• Identify areas for improvement and develop solutions to optimize efficiency, reduce waste, and enhance product quality.
• Support Maintenance for root cause analysis and troubleshoot process issues, recommending and implementing corrective actions.
• Utilize statistical process control (SPC) and other data analysis techniques to monitor, control process variables, and anticipate related issues.
• Collaborate with cross-functional teams, including Production, Maintenance, and Quality, to implement process improvements and resolve issues.

Minimum Requirements

• Bachelor's or master's degree in engineering or related field. An equivalent amount of relevant work experience may be considered in lieu of a degree. 
• Minimum of 4 years of experience as a Paint Process Engineer in an automotive production plant.
• Strong knowledge of Paint processes, including but not limited to, manufacturing and quality control.
• Proficiency in process improvement methodologies such as Lean Six Sigma.
• Strong problem-solving and analytical skills, with the ability to analyze data and make data-driven decisions.
• Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams.
• Project management skills to manage multiple projects simultaneously and meet deadlines.
• Continuous improvement mindset with a focus on driving operational excellence.
• Experience with process simulation software and familiarity with computer-aided design (CAD) software is a plus.
• Experience in Plastic automotive industry is a plus.
• Experience in Part preparation such as Masking and Flaming operations is a plus.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $100,000.00 - $125,000.00

Internal leveling code: IC9

Overview

The Body Systems Team within Scout includes Body Structures, Closures, Ladder Frame, Interior and Exterior Trim, Lighting, Accessories, and Safety. This role is specifically assigned to the Body Structures team.

The BIW Materials Specialist is responsible for leading the evaluation of Body-in-White automotive materials, including metals, coatings, sealers, adhesives, and paint, to ensure they meet industry standards, regulatory requirements, and performance expectations. The Specialist will collaborate with engineering, suppliers, and the quality team to assess material performance and resolve issues related to material properties and processing. This role will involve the creation and/or assessment of material specifications and test procedures.  

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Serve as the subject matter expert and lead the development and/or evaluation of new sheet metal materials, coatings, sealers, and adhesives for automotive applications, ensuring compatibility with design and manufacturing processes.
• Ensure materials meet industry (e.g., ASTM, ISO, SAE, VDA, etc) and internal standards and regulatory requirements for safety, sustainability, and performance. Author new standards, test procedures, and requirements as necessary.
• Evaluate test results on automotive materials to assess strength, durability, corrosion resistance, and other critical properties.
• Lead the investigation of material failures and defects in components, determining causes such as fatigue, stress, or environmental exposure to determine root causes and recommend corrective actions.
• Collaborate with design, manufacturing, and quality teams to support material selection, testing protocols, and process improvements.
• Support the manufacturing team by working with engineers and suppliers in optimizing material processing techniques such as welding, casting, and stamping to improve cost efficiency, sustainability, performance and reduce defects.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Charlotte, NC. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in Materials Science, Metallurgy, Chemistry, Mechanical Engineering, Materials Engineering, or a related field.
• 5+ years as a Materials Engineer supporting steel and aluminum parts for an automotive OEM or Tier 1 supplier.
• Experience in an automotive or materials testing laboratory environment preferred.
• Experience with material characterization techniques (e.g., X-ray diffraction, thermal analysis).
• Knowledge of automotive industry standards and testing methods.
• Strong knowledge of material characterization techniques (e.g., SEM, XRD, FTIR, DSC, TGA, hardness testing).
• Understanding of BIW automotive materials, including metals, coatings, sealers, adhesives, and paint.
• Ability to work with cross-functional teams, including design, manufacturing, and suppliers
• Proficiency in data analysis and reporting tools (e.g., MATLAB, Minitab, Excel).
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Work Environment:

• Collaboration with cross-functional teams in engineering, manufacturing, and quality assurance.
• Potential travel to suppliers or manufacturing facilities for material assessments.

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00
Internal leveling code: IC9

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Coordinate and refine control algorithms for state-of-the-art electric vehicle thermal management systems.
• Perform calibration of thermal and climate functionality to deliver optimal performance for the customer and vehicle.
• Ensure that thermal management systems meet industry standards and regulatory requirements for safety, performance, and environmental impact.
• Collaborate with cross-functional teams to integrate calibration solutions into the overall vehicle architecture.
• Conduct thorough testing, validation, and optimization of control algorithms.
• Participate in calibration development trips.
• Lead issue resolution for thermal calibration and/or software issues.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in mechanical engineering, automotive engineering, electrical engineering or a related field.
• 5+ years of experience in high voltage battery controls system development, preferably in the automotive or energy storage industry.
• Proficiency in control theory, algorithm development, and simulation tools.
• Experience in calibration tools and methodologies.
• Strong programming skills in languages like C, C++, or Python.
• Experience with thermal management systems and associated hardware.
• Knowledge of communication protocols (CAN, LIN) and hardware interfaces.
• Familiarity with safety standards and regulations pertaining to battery technology.
• Excellent problem-solving skills and ability to work in a dynamic, collaborative environment.
• Ability to be self-sufficient with minimal direction to meet customer deliverables.
• Strong interpersonal skills to interface with colleagues and suppliers around the world
• Ability to read, interpret and generate engineering drawings and specifications.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

Position Overview

The Senior Thermal Systems Design Release Engineer (DRE) serves as the technical leader and end to end owner of advanced thermal management components and subsystems across multiple vehicle programs. This role is responsible for leading the design, development, validation, release, and lifecycle support of complex thermal hardware including cooling modules, HVAC systems, refrigerant circuits, battery thermal systems, pumps, valves, heat exchangers, and related fluid handling components.
The senior DRE ensures that all thermal subsystems meet or exceed OEM performance, durability, cost, quality, manufacturing, and timing targets from program initiation through Job 1 and into post launch operations. This role requires deep technical capability, cross functional leadership, supplier management expertise, and the ability to resolve complex system level issues.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Thermal System Leadership & Technical Ownership

• Serve as the senior engineering authority and “single point of responsibility” for assigned thermal systems within one or more vehicle platforms.
• Translate vehicle level thermal, energy, and performance targets into detailed component level technical requirements and specifications.
• Lead system integration efforts to ensure compatibility with vehicle controls, electrical architecture, software interfaces, and packaging constraints.
• Provide technical mentorship to junior DREs and influence cross functional engineering decisions related to thermal architecture.

Advanced OEM Design & Release Execution

• Direct the creation, evolution, and approval of CAD models, drawings, specifications, and documentation within the PLM environment.
• Own part numbering strategy, BOM structure, and engineering releases for all gateway milestones across multiple vehicle programs.
• Lead high level design reviews, trade off discussions, and technical forums with product development, controls, electrical, manufacturing, and program leadership.
• Drive early issue identification and resolution through advanced analytical tools and system modeling.

Supplier & Sourcing Leadership

• Serve as the chief technical interface to global suppliers, ensuring alignment on requirements, performance expectations, timing, and quality.
• Review, challenge, and approve supplier engineering documentation including DFMEA, DV plans, tolerance stacks, and material/process specifications.
• Partner with Purchasing to evaluate sourcing strategies, review commercial proposals, and assess supplier technical readiness.
• Lead supplier launch readiness activities including tooling kickoff, PPAP validation, and manufacturing capability audits.

Validation Strategy & Vehicle Build Support

• Develop, own, and execute comprehensive DVP&R plans for thermal components and subsystems.
• Provide on-site support for prototype, mule, VFF, and production builds, lead issue triage, root cause analysis, and corrective actions.
• Lead technical support for thermal testing campaigns including environmental chambers, weather events, dynamometer testing, and wind tunnel evaluations.
• Collaborate with Vehicle Integration and Controls teams to ensure system performance meets real world and regulatory requirements.

Quality, Manufacturing & Launch Excellence

• Coordinate closely with Manufacturing Engineering to ensure that component designs meet plant requirements and process capabilities.
• Lead and support PFMEA reviews, control plan development, and PPAP documentation for thermal systems.
• Drive resolution of launch issues including leaks, noise and vibration concerns, flow restrictions, contamination, and supplier non conformances.
• Implement lessons learned and design optimizations to ensure continuous improvement across vehicle programs.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Required Qualifications

• Bachelor’s degree in Mechanical Engineering, Automotive Engineering, or related discipline.
• 6+ years of experience in automotive thermal systems or closely related hardware.
• Deep understanding of heat transfer, fluid dynamics, coolant systems, refrigerant circuits, and thermal system integration.
• Expertise with OEM CAD and PLM systems and experience leading engineering releases through full vehicle development cycles.
• Demonstrated ability to lead complex design efforts and resolve system level issues in cross functional environments.

Preferred Qualifications

• Experience with EV thermal architectures, integrated cooling systems, and high voltage thermal components.
• Strong knowledge of APQP, PPAP, DFMEA, DVP&R, and quality systems.
• Familiarity with manufacturing processes for heat exchangers, pumps, valves, hoses, and molded plastic/metal components.
• Proven track record of leading supplier development, managing global supply chains, and supporting launch activities.
• Advanced problem-solving skills including structured root cause analysis, system simulations, and data driven decision making.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $120,000.00 - $145,000.00

Internal leveling code: IC8

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Coordinate and refine control algorithms for state-of-the-art battery management systems (BMS) to monitor cell voltage, temperature, and state of charge (SOC) for efficient energy utilization and safety.
• Perform calibration of BMS functionality to deliver optimal performance for the customer and vehicle
• Ensure that battery control systems meet industry standards and regulatory requirements for safety, performance, and environmental impact.
• Utilize modeling and simulation tools to validate control system designs and predict performance under various operating conditions.
• Collaborate with cross-functional teams to integrate battery control systems into the overall vehicle architecture.
• Conduct thorough testing, validation, and optimization of control algorithms.
• Participate in calibration development trips.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in mechanical engineering, automotive engineering, electrical engineering or a related field.
• 5+ years of experience in battery controls system development, preferably in the automotive or energy storage industry.
• Proficiency in control theory, algorithm development, and simulation tools.
• Experience in calibration tools and methodologies.
• Strong programming skills in languages like C, C++, or Python.
• Familiarity with battery management systems (BMS) and associated hardware.
• Knowledge of communication protocols (CAN, LIN) and hardware interfaces.
• Familiarity with safety standards and regulations pertaining to battery technology.
• Excellent problem-solving skills and ability to work in a dynamic, collaborative environment.
• Ability to be self-sufficient with minimal direction to meet customer deliverables.
• Strong interpersonal skills to interface with colleagues and suppliers around the world
• Ability to read, interpret and generate engineering drawings and specifications.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC9

Purpose

The CNC Programmer (Turning & Grinding Focus) is a highly technical manufacturing role responsible for developing and executing advanced machining processes with a primary focus on horizontal turning mills, mill-turn platforms, and precision grinding operations, while supporting broader CNC machining activities as required. 

This role owns the full machining workflow including process development, fixture design, CNC programming, machine setup support, prove-out, inspection collaboration, and production optimization. The CNC Programmer partners closely with manufacturing engineering, design engineering, and shop operations teams to develop robust, repeatable, and scalable machining strategies for high-performance aerospace, automotive, defense, and energy components. 

Operating in a fast-paced hardware environment, this individual will lead the development of advanced machining solutions for complex rotational hardware and precision-critical components, supporting both prototype development and high-rate production. This role combines deep CAM expertise, strong shop-floor execution, and hands-on manufacturing problem solving.

The Role

Advanced CNC Programming & Machining 

• Develop and optimize CNC programs using CAM software (Siemens NX preferred) for:  

• Horizontal turning mills  

• Multi-axis mill-turn platforms  

• 5-axis grinding systems  

• Standard vertical and horizontal machining centers as needed  

• Program, verify, simulate, and support complex machining operations including:  

• Multi-axis turning  

• Simultaneous 5-axis machining  

• Cylindrical and profile grinding  

• Mill-turn operations  

• Support first article development through stable production release.  

• Create advanced machining strategies for tight-tolerance rotational components and complex geometries.  

• Develop dynamic work offset strategies, probing routines, and multi-operation setup methodologies. 

Process Development & Optimization 

• Analyze new components to determine machining approach, tooling strategy, workholding concepts, and process flow.  

• Design and refine robust machining processes to improve: Cycle time, Surface finish, Dimensional capability, Tool life, Repeatability  

• Develop grinding strategies for precision-critical surfaces, diameters, profiles, and datum structures.  

• Provide Design for Manufacturability (DFM) feedback to engineering teams during product development. 

Fixture Design & Manufacturing Support 

• Design and develop machining fixtures, grinding workholding, soft jaws, and support tooling using CAD (NX preferred).  

• Support fabrication, prove-out, and validation of fixtures and setup concepts.  

• Collaborate with machinists and operators during setup, prove-out, and production troubleshooting.  

• Provide direct shop-floor support during first article builds and process launches. 

Inspection & Quality 

• Interpret engineering drawings and apply GD&T principles to machining and inspection strategies.  

• Collaborate with metrology and quality teams to validate inspection approaches for complex machined hardware.  

• Utilize metrology equipment and inspection feedback to refine machining processes and improve capability.  

• Support root cause investigations and corrective actions for machining-related non-conformances. 

Production & Operational Excellence 

• Support machining operations across prototype, low-rate, and production environments. 

• Maintain strict adherence to MES, process documentation, revision control, and manufacturing standards.  

• Ensure compliance with Environmental, Health, and Safety (EHS) requirements and machine shop best practices.  

• Support broader machining and shop activities as production priorities require. 

Basic Qualifications

• Extensive CNC programming experience with a strong focus on:  

• Horizontal turning mills  

• Mill-turn machining  

• Multi-axis turning systems  

• Strong CAM programming capability (Siemens NX preferred).  

• Strong understanding of machining dynamics, tooling, materials, and process optimization.  

• Experience with Siemens and/or Heidenhain controllers preferred.  

• Proficiency in CAD modeling and fixture/workholding design.  

• Demonstrated ability to develop machining strategies for first article and production hardware.  

• Strong understanding of GD&T and precision inspection methodologies.  

• Hands-on understanding of machine setup, operation, and prove-out activities.   

• Experience machining aerospace-grade materials including aluminum, steels, titanium, stainless steels, and nickel-based alloys. 

• Ability to lawfully access information and technology that is subject to US export controls 

Preferred Qualifications

• Proficiency with Siemens NX CAD/CAM. 

• Experience with horizontal turning centers, mill-turn systems, multi-axis, & Precision grinding operations    

• Experience programming or supporting precision grinding equipment (5-axis grinding preferred). 

• Familiarity with palletized machining systems and automated manufacturing environments. 

• Experience machining large-format or high-precision rotational components. 

• Experience with additive manufacturing and hybrid additive-subtractive workflows. 

• Strong understanding of aerospace, automotive, defense, or turbine/energy hardware manufacturing. 

• Experience supporting high-rate production and production ramp environments. 

• Familiarity with in-process probing, automation, and advanced setup verification techniques. 

Work Environment

• This role operates in a fast-paced, high-mix production environment where priorities can shift rapidly based on engineering changes, supply chain constraints, and program milestones. The environment demands tight cross-functional collaboration with engineering, manufacturing, quality, logistics, and program teams to ensure daily execution aligns with long-term build plans.
   
• Success in this environment requires hands-on engagement on the shop floor, strong systems knowledge, and the ability to anticipate and resolve scheduling risks before they impact key deliverables.
   
• The culture emphasizes proactive communication, data-driven decision making, and continuous improvement to meet aggressive program timelines while maintaining high standards for quality, safety, and efficiency. 

Additional Requirements

• An on-site skills demonstration (< 60mins) is required as part of the hiring process to evaluate technical proficiency and practical machining abilities. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels ABC - XYZ as evaluated through our interview process. 

• Technician / T03: $47.00 - $51.00
• Lead Technician / T04: $52.00 - $60.00
• Senior Technician / T05: $60.00 - $69.00

Schedule
This is a 3 - 4 x 11 rotating shift working alternating Wednesdays.

Shifts Available

Sun - Wed 1st shift (5am - 4:30pm)
Wed - Sat 1st shift (5am - 4:30pm)
Wed - Sat 2nd shift (4pm - 3:30am)

Purpose

The CNC Machining Specialist is a hands-on technical expert responsible for developing and executing precision machining strategies with an emphasis on CNC turning operations, while maintaining versatility across milling and multi-axis machining environments. This role supports the production of high-performance components for advanced aerospace, automotive, and next-generation manufacturing systems. 

Operating with a high degree of autonomy, this individual partners closely with design and manufacturing engineering to translate complex hardware requirements into robust, scalable machining processes. The role is deeply rooted in shop-floor execution—owning setups, solving problems in real time, and driving machining excellence from prototype through rate production. 

This position plays a critical role in building repeatable, high-quality processes, improving throughput, and enabling rapid iteration in a fast-paced production environment. 

The Role

Turning & Machining Execution 

• Lead setup, operation, and optimization of CNC turning centers (mill-turn and multi-axis lathes) for precision components.  

• Execute machining & grinding across a range of equipment as needed, including 3-axis, 3+2, and 5-axis mills to support production demands.  

• Own first article through production runs, ensuring parts meet dimensional, surface finish, and performance requirements.  

• Apply advanced understanding of GD&T to validate setups and machining strategies directly on the floor. 

Process Development & Optimization 

• Define machining strategies across turning and milling operations, including:  

• Tooling selection  

• Workholding/fixturing concepts  

• Program approach and sequencing  

• Identify and eliminate inefficiencies in cycle time, tool life, and setup methodology.  

• Troubleshoot and resolve machining challenges (chatter, tool wear, thermal distortion, tolerance stack-up, machine limitations).  

• Partner with engineering to drive Design for Manufacturability (DFM), especially for turned features and rotational geometries. 

Production Ownership & Continuous Improvement 

• Take full ownership of machining processes on the floor—from initial prove-out to stable production.  

• Drive continuous improvement initiatives focused on:  

• Cycle time reduction  

• Scrap and rework reduction  

• Process capability and repeatability  

• Support production ramp by developing scalable processes, standardized tooling, and repeatable setups.  

• Act with urgency to resolve blockers impacting delivery schedules and production output. 

Quality & Documentation 

• Ensure all hardware meets internal and industry quality standards through disciplined process control.  

• Develop and maintain:  

• Setup sheets  

• Work instructions  

• Process standards  

• Collaborate with inspection teams to validate measurement strategies for tight-tolerance turned features.  

• Support root cause analysis and corrective actions for non-conformances. 

Team Leadership & Mentorship 

• Mentor machinists and operators on turning best practices, machining fundamentals, and advanced techniques.  

• Promote strong shop culture centered on accountability, craftsmanship, and continuous learning.  

• Provide technical guidance across shifts to ensure consistency and process adherence. 

Safety & Operational Excellence 

• Champion Environmental, Health, and Safety (EHS) standards within all machining activities.  

• Proactively identify risks in machining operations and implement mitigation strategies.  

• Maintain a clean, organized, and high-functioning work environment aligned with high-performance production standards. 

Basic Qualifications

• Extensive experience operating CNC turning centers (2-axis, live tooling, mill-turn, or multi-axis lathes).  

• Strong cross-functional machining experience including milling (3-axis, 3+2, 5-axis) & grinding.  

• Proficiency with Siemens, Fanuc, & Heidenhain controllers.  

• Advanced understanding of GD&T and its application in precision machining.  

• Proven ability to troubleshoot and optimize machining processes across tooling, fixturing, and programming.  

• Experience machining complex components in aluminum, steels, titanium, and nickel-based alloys (Inconel).  

• Demonstrated experience with advanced setup techniques, including dynamic work offsets and multi-operation setups.  

• Hands-on experience taking parts from first article through production.  

• Ability to create clear setup documentation and standardized machining processes.  

• Experience mentoring or leading other machinists on the shop floor. 

• Ability to lawfully access information and technology that is subject to US export controls 

Preferred Qualifications

• Familiarity with large-format or gantry-style machining systems.  

• Experience Machining additively manufactured components or hybrid workflows.  

• Strong manual machining skills to support tooling, fixtures, and rework operations.  

• Experience in high-rate production or rapid development environments with aggressive timelines. 

• Experience in CAD/CAM software/environments (NX CAM preferred).  

• Strong understanding of G-code. 

• Experience with writing probing routines for on machine part inspections. 

Work Environment

• This role operates in a fast-paced, high-mix production environment where priorities can shift rapidly based on engineering changes, supply chain constraints, and program milestones. The environment demands tight cross-functional collaboration with engineering, manufacturing, quality, logistics, and program teams to ensure daily execution aligns with long-term build plans. 
• Success in this environment requires hands-on engagement on the shop floor, strong systems knowledge, and the ability to anticipate and resolve scheduling risks before they impact key deliverables. 
• The culture emphasizes proactive communication, data-driven decision making, and continuous improvement to meet aggressive program timelines while maintaining high standards for quality, safety, and efficiency. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels ABC - XYZ as evaluated through our interview process. 

• Technician / T03: $47.00 - $51.00
• Lead Technician / T04: $52.00 - $60.00
• Senior Technician / T05: $60.00 - $69.00

Job Description

Anduril is seeking Systems Safety Engineer to join the Omen team at our Costa Mesa HQ. Omen is Anduril’s hover-to-cruise autonomous air vehicle (AAV) that packs the endurance, payload, and mission flexibility of much larger airplanes into a novel runway-independent Group 3 platform. Omen can operate from ship decks, beaches, or remote island clearings, providing true runway independence and freedom of maneuver across defense and civilian domains. Omen is the first tail-sitter aircraft with a mass-production contract, with an order of 50 systems representing a decisive investment that anchors production and accelerates the development of future systems.

You will work on the System Safety and Airworthiness aspects of new aircraft development effort in a lean, high-ownership culture where you directly shape the product and operate at a velocity to fly new designs within months, not years.

WHAT YOU’LL DO

• Bring a pragmatic and right-sized approach to Systems Safety and Airworthiness to enable Omen Capability realization at the speed of relevance
• Develop and implement a tailored Systems Safety approach aligned with MIL-STD-882E and the end-user for the Omen Capability
• Engage with customers, end-users and local regulatory authorities to Identify appropriate Airworthiness frameworks and recognized standards to develop the overall Airworthiness strategy as a foundation for design efforts
• Develop Airworthiness plans and documentation in support of regional regulatory processes and submissions
• Develop Systems Safety requirements and collaborate with Vehicle, Mission, Support and Production design teams to implement Safety Safety best practices
• Identify the need for and conduct complex safety analyses, including FHA (Functional Hazard Analysis), System/Subsystem Hazard Analysis, System of Systems Hazard Analysis, Environmental Hazard Analysis, Operating and Support Hazard Analysis, Health Hazard Analysis, Fault Tree Analysis (FTA) and SCFTA (Safety Critical Functional Thread Analysis), Failure Modes, Effects, and Criticality Analysis (FMECA)
• Identify and document hazards and risks for the Omen project, manage hazard tracking databases, and ensure proper risk mitigation strategies are implemented
• Support System Design Reviews (SDR) and engineering governance structures such as Preliminary Design Reviews (PDR), Critical Design Reviews (CDR), Test Readiness Reviews (TRR), Safety Review Boards (SRB) representing System Safety and Airworthiness
• Lead and triage Systems Safety outcomes from Root Cause Corrective Action (RCCA) investigations and mishap reports
• Drive continuous improvement in Systems Safety processes and methodologies
• Develop and own the Omen System Safety Program Plan (SSPP)

REQUIRED QUALIFICATIONS AND ATTRIBUTES

• Bachelor degree in Aerospace, Mechanical, Electrical or Systems Engineering, or equivalent technical discipline
• 10+ years industry experience as a Systems Safety Engineer aligned with Airworthiness activities
• Experience with safety-critical hardware and software systems in the Defense or Aerospace industries, specifically crewed aircraft, rotorcraft, UAS or weapon systems
• Extensive knowledge of AC 23-1309-1E, MIL-STD-882E, MIL-STD 516C airworthiness, AC-17-01, and other relevant safety standards
• Experience establishing and maintaining relationships with civil and military Airworthiness authorities
• Proven experience working civil and military Airworthiness processes, including MIL-HDBK-516 series documents, throughout the life cycle of a developmental aircraft to achieve successful program completion
• Experience developing and managing Airworthiness plans, tracking of Airworthiness criterions, and similar activities
• Strong background in safety analysis techniques, including FTA, FHA, SCFTA, and FMECA
• Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence
• Experience with crewed or uncrewed developmental autonomous aircraft (Group 3 UAS or larger)
• Understanding of high voltage and high power systems or hybrid powertrains advantageous
• Experience with guidelines, standards and processes such as ARP-4754, ARP-4761, DO-178C, DO-254, JSSSEH, MIL-STD-810, MIL-STD-461 is desirable
• Familiarity with technical software packages such as Relyence, Teamcenter, JIRA, JAMA, Cameo, and/or Ansys
• Excellent written, verbal, interpersonal and communication skills
• A sincere commitment to a positive, inclusive, and collaborative culture
• Eligible to obtain and maintain a security clearance in United States, United Kingdom, or Australia

The Anduril Battlespace Awareness Radar team develops state-of-the-art radar systems, deployed to tackle the most significant security challenges of America and its allies. The Radar team is seeking an Electrical Test Engineer to help us test the next generation of US radars. The Radar team is responsible for all aspects of radar system development, from the ideation stage through initial production.  In this role, you will work closely with an interdisciplinary technical team to perform testing and collaborate with design engineers to mature the prototypes into products. 

WHAT YOU’LL DO

• Conduct integration and developmental testing of complex electrical subystems, including high speed digital and RF components.
• Work closely with other electrical, mechanical, software, firmware, and test engineers to deliver fully functional products.
• Conduct environmental testing to ensure the reliability of our radars in various environments.
• Create and update test procedures for validating printed circuit board performance against design targets. Design test automation to streamline this testing where possible.
• Stay current with emerging technologies and industry trends to drive innovation and maintain our technological edge.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Electrical Engineering or equivalent, with 3+ years of experience testing and troubleshooting complex board designs.
• Experience with analog and digital electronics testing and troubleshooting.
• Competence with test equipment such as oscilloscopes, logic analyzers, current-probes, and automation of tests.
• Familiarity with standard interfaces such as Ethernet, CAN, I2C, SPI, PCIe, USB, etc..
• Knowledge of modern analog and digital electronics and electronic circuits.
• Comfortable with a variety of electronic CAD tools (Altium preferred, Eagle and others acceptable).
• Experience with test automation scripting (e.g., Python) for data acquisition and control.
• Experience in testing and debugging for signal integrity / power integrity.
• Strong time management and organizational abilities, with a demonstrated ability to deliver projects on time and within budget.
• Excellent problem-solving skills, with the ability to think creatively and adapt to diverse and evolving challenges.
• Eligible to obtain and maintain an active U.S. Secret security clearance (use appropriate one from here - Recruiter to own)

PREFERRED QUALIFICATIONS

• Familiarity with common MCU, CPU, FPGA devices and technologies.
• Experience with RF electronics testing and troubleshooting.
• Experience with RF test equipment such has VNAs, signal analyzers, signal generators, and power meters.
• Experience with environmental testing procedures and standards to pass MIL-STD-810.
• Experience developing test fixtures to support board testing and troubleshooting

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 6+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority, primarily through our EagleEye augmented reality system. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 9+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

About the Role:

Join Planet’s Software Engineering Team as a Senior Geospatial AI/ML Engineer and help us build the next generation of geospatial intelligence. In this role, you will develop cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers.

You will design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity. Your work will heavily leverage Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities. The ideal candidate exudes an enthusiasm for working in an AI forward development flow. You naturally integrate AI-assisted tools into your workflow to drive your own productivity and enjoy being part of a team that treats AI as a core collaborator in the development lifecycle. The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing.

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

Impact You'll Own:

• Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors.
• Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement.
• Handle and  solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals.
• Use your deep domain expertise to guide future feature development toward high-impact, achievable technical milestones.

What You Bring:

• Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field.
• 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development.
• Advanced expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms, unsupervised/semi-supervised techniques, and strong mathematical foundations.

What Makes You Stand Out: 

• Proficiency in Big Data and AI/ML at scale.
• Experience with multi-modal data processing (EO, MSI, SAR), Computer Vision, and Perspective Geometry.
• Full-stack capabilities, including front-end GUI, database management, and containerization (Docker).
• Ability to balance innovative and creative technological approaches with strong coding talent.
• Expertise that can extend support beyond the Defense and Intelligence (D&I) sectors, aligning with Planet's strategic mission expansion.
• Ability to operate with a high degree of autonomy and require minimal day-to-day oversight.

#LI-REMOTE

Application Deadline:

June 30th, 2026 at 11:59p PT

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.

Network Engineer (AMR / Industrial Wireless)

North Point Technology is hiring Network Engineers to support the deployment of Autonomous Mobile Robot (AMR) systems across a global manufacturing footprint. This role is ideal for an experienced network professional who can design, deploy, and optimize industrial wireless networks in complex, production-critical environments.

Responsibilities:

• Design, deploy, and support wireless network infrastructure across manufacturing sites
• Conduct wireless site surveys to assess coverage, performance, and environmental constraints
• Install, configure, and optimize wireless networks to support AMR system operations
• Deploy and support Cisco Identity Services Engine (ISE) and Cisco Cyber Vision
• Perform network testing, tuning, and troubleshooting in live production environments
• Coordinate with plant IT teams, operations, and external vendors during deployments
• Develop and maintain standardized documentation for network configurations and processes

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in network engineering or infrastructure deployment
• Strong experience with Cisco networking technologies
• Hands-on experience with wireless network design, deployment, and optimization
• Experience with Cisco ISE (authentication, policy enforcement, segmentation)
• Experience deploying networks in manufacturing or industrial environments
• Ability to troubleshoot complex network issues in real-world conditions

Preferred Qualifications:

• Experience with Cisco Cyber Vision or industrial security platforms
• Experience with OT (Operational Technology) or industrial IoT environments
• Experience supporting large-scale, multi-site deployments

Network Engineer (AMR / Industrial Wireless)

North Point Technology is hiring Network Engineers to support the deployment of Autonomous Mobile Robot (AMR) systems across a global manufacturing footprint. This role is ideal for an experienced network professional who can design, deploy, and optimize industrial wireless networks in complex, production-critical environments.

Responsibilities:

• Design, deploy, and support wireless network infrastructure across manufacturing sites
• Conduct wireless site surveys to assess coverage, performance, and environmental constraints
• Install, configure, and optimize wireless networks to support AMR system operations
• Deploy and support Cisco Identity Services Engine (ISE) and Cisco Cyber Vision
• Perform network testing, tuning, and troubleshooting in live production environments
• Coordinate with plant IT teams, operations, and external vendors during deployments
• Develop and maintain standardized documentation for network configurations and processes

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in network engineering or infrastructure deployment
• Strong experience with Cisco networking technologies
• Hands-on experience with wireless network design, deployment, and optimization
• Experience with Cisco ISE (authentication, policy enforcement, segmentation)
• Experience deploying networks in manufacturing or industrial environments
• Ability to troubleshoot complex network issues in real-world conditions

Preferred Qualifications:

• Experience with Cisco Cyber Vision or industrial security platforms
• Experience with OT (Operational Technology) or industrial IoT environments
• Experience supporting large-scale, multi-site deployments

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1516

The Role

At Skyloom, we’re building cutting-edge optical communication systems for space. We’re looking for an Electrical Engineer with a strong hands-on mindset to help test, debug, and validate electronic assemblies (PCBA and Card Circuit Assembly) across development and production.

This role is ideal for an engineer who enjoys working in the lab, solving real hardware problems, and collaborating across disciplines. Experience with complex electronic systems is key, deep aerospace or space background is a plus, but not required.

You’ll work closely with hardware, firmware, optical, manufacturing, and test teams to bring advanced electronic systems from prototypes to flight-ready production.

Responsibilities: 

Hardware Test & Debug

• Test and debug PCBAs and electronic subsystems, including multi-board systems.
• Perform functional and performance testing during development, qualification, and production.
• Support hardware bring-up and troubleshooting using lab instrumentation.

Validation & Production Support

• Verify electrical and functional requirements.
• Support design verification and production acceptance testing.
• Help identify root causes of failures and support corrective actions.
• Contribute to test procedures, acceptance criteria, and production documentation.

Interfaces & Signal Integrity

• Test and validate common communication interfaces (Ethernet, SPI, I²C, UART, etc.).
• Assist with debugging signal integrity issues in high-speed or mixed-signal designs (e.g., SERDES-based links, LVDS, etc.).

Collaboration

• Work cross-functionally with hardware, firmware, optical, manufacturing and AIT teams.
• Support environmental testing activities (thermal, vibration, etc.) as needed.
• Collaborate with international partners to support system integration and testing.

Requirements: 

• Bachelor’s degree in Electrical Engineering or related field.
• 3-6 years of relevant experience (flexible depending on skill set).
• Solid foundation in electrical engineering fundamentals (digital, analog, or mixed-signal).
• Hands-on experience testing or debugging electronic hardware.
• Comfort working in a lab environment using standard test equipment (oscilloscopes, power supplies, logic analyzers, etc.).
• Experience with PCBAs, prototypes, or production hardware.

Preferred Qualifications: 

• Experience in aerospace, defense, or other regulated industries.
• Exposure to optoelectronics, RF, or communication systems.
• Basic scripting or embedded programming (Python, C/C++ or similar languages).
• Interest in growing into more complex system-level testing or aerospace testing roles.
• Lab environment use, such as, power meter and optic spectrum analyzer. 
• Fluency in Spanish with strong written and verbal communication skills.

Compensation 

The approximate base salary range for this position is $110,000 - $115,000. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

About Skyloom 

Skyloom is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete—or if working on space lasers excites you—join our team to develop the future generation of space communication technology.

Location: This role will be on-site at our Broomfield, Colorado, office. 
Travel: Up to 5%
Job ID:  1446

The Role

The System Integration & Test Engineer is responsible for executing subsystem- and system-level integration and test activities across a range of hardware and software complexities. This role ensures that individual components and fully integrated systems perform according to requirements through structured verification and validation processes.

This position requires a strong combination of hands-on testing capability, systems thinking, and software/scripting proficiency to support automated testing, data acquisition, and analysis. The engineer will work closely with electrical, mechanical, optical, and software teams to troubleshoot issues, validate performance, and improve system reliability.

Responsibilities 

•  Execute subsystem and system-level test campaigns (functional, performance, environmental, acceptance)
• Develop and execute test plans and procedures from requirements
• Support system integration across electrical, mechanical, optical, and software domains
• Troubleshoot integration and test anomalies
• Monitor and analyze test data in real time
• Develop and maintain test scripts and automation tools
• Support hardware-in-the-loop (HIL) systems
• Prepare and support TRR and TRB reviews
• Ensure documentation, traceability, and configuration control
• Improve test processes and infrastructure

Qualifications

• Experience with integration and testing of complex hardware systems
• Experience with oscilloscopes, signal generators, spectrum analyzers, power supplies, DAQ systems
• Troubleshooting of analog, digital, and mixed-signal systems
• Strong scripting skills (Python, MATLAB or similar)
• Data acquisition and analysis experience
• Ability to read schematics and engineering drawings
• Strong problem-solving and communication skills
• Bachelor’s or advanced degree in Engineering (Electrical, Mechanical, Aerospace or similar)
• Minimum 3 years of relevant experience

Preferred Qualifications

•  Experience with automated test frameworks
• Linux and embedded systems familiarity
• Requirements-to-test translation experience
• Aerospace or defense background
• Spanish language skills

Compensation 

The approximate base salary range for this position is $90,000 - $100,00. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

About Skyloom 

Skyloom, an IonQ company, is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete, or if working on space lasers excites you, join our team to develop the future generation of space communication technology.

Skyloom is building the orbital infrastructure for the next renaissance in global connectivity. As Earth’s first space-based telecommunications company, we deliver fiberless, planetary-scale data transport that dramatically increases bandwidth, availability, and resiliency—while reducing latency and total cost of operations.

Our proprietary optical technology enables secure, ultra-high-capacity connections across our end-to-end, multi-orbit network or within your own infrastructure, unlocking a new standard for global communications.

Location: This role will be onsite in our Broomfield, Colorado office. 
Travel: Up to 5%
Job ID:  1434

The Role

We seek a Mechanical Engineer to manage the complete design of aerospace components and subsystems. You will collaborate with structural, thermal, and control engineers to develop hardware meeting performance, mass, and environmental standards. Your role includes translating concepts from sketches to CAD to space-qualified products within the Thermo-Mechanical Team.

Responsibilities

• Lead the mechanical design of components, enclosures, and assemblies for space applications.
• Create detailed 3D CAD models and 2D manufacturing drawings with appropriate GD&T, using CAD software.
• Improve drive design for weight, stiffness, manufacturability, and ease of integration.
• Collaborate with other disciplines—mainly thermal, structural analysis, control, electronic, and optics subsystems—to ensure system-level requirements are met.
• Support integration, manufacturing, and assembly, including interactions with suppliers and participating in design reviews.
• Procure mechanical parts from COTs or use manufactured components.
• Assist in prototype builds, fit checks, and environmental testing (vibration, TVAC, thermal cycling).
• Manage configuration control and documentation throughout the design lifecycle.
• Contribute to or participate in PDR/CDR reviews and technical trade studies.

Required Qualifications

• Mechanical Engineering, Aerospace Engineering, or a related engineering discipline
• 3-6+ years of experience in mechanical design, ideally in aerospace or high-performance hardware.
• Advanced proficiency in CAD tools (NX, SolidWorks, or equivalent), working with complex assemblies.
• Strong understanding of materials, tolerancing, and manufacturing processes (CNC, sheet metal, composites, additive manufacturing).
• Familiarity with design for manufacturability principles and mechanical interfaces.
• Proficiency with GD&T standards, ISO or ASME
• Basic understanding of thermal and structural considerations in space hardware.
• Experience collaborating with various disciplines.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Skyloom employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Preferred Qualifications

• Experience designing space mechanisms (deployment systems, actuators, or hinges).
• Hands-on experience with testing, integration, or cleanroom assembly.
• Competence in FEM for structural analysis and a solid understanding of static and dynamic analysis.
• Knowledge of ECSS/NASA standards for mechanical design and verification.
• Basic scripting (Python, MATLAB) for data processing.
• Familiarity with PLM and ERP tools
• Spanish proficiency

The approximate base salary range for this position is $110,088 - $122,321. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

Legend Biotech is seeking a Facility Engineer as part of the Technical Operations team based in Raritan, NJ.

Role Overview

This position will be responsible for facilities engineering support, design, and implementation for mechanical systems and equipment, and work order management for cGMP Clinical and Commercial Cell Therapy Manufacturing. This individual will partner with various Technical Operation functions in support of personalized cell therapy production through safe and compliant manufacturing operations according to cGMP requirements. This individual will support the organization in maintaining commercial production at a state-of-the-art cell therapy facility. The role will require proven leadership and expertise that drives effective communication, coordination and collaboration across relevant cross functional groups to enable robust production, testing and release of product to patients.

Key Responsibilities

• Demonstrates professional execution of the planning, development, and implementation of construction and/or repair programs for engineering driven initiatives.
• Serves as SME on engineering design projects; sets project requirements, evaluates compliance with project and engineering standards, and approves final designs and installations.
• Identifies, investigates, and analyzes a wide range of complex facilities, utilities, systems, equipment or manufacturing issues and develops a robust solution for remediation.
• Oversees, reviews, and approves the work of external engineering design and planning consultants; ensures that engineering designs are consistent with contract specifications and all relevant regulations and engineering standards.
• Supports the review of equipment, building, and other job plans within the CMMS for effectiveness, applicability, and compliance. Ensure all equipment is operated and maintained within a validated/qualified/certified state.
• Gathers and analyzes data, blueprints, and reports.
• Supports tracking and achievement of annual maintenance goals and objectives including metric improvement targets. Support continuous improvement activities such as preventive maintenance optimization, risked based asset management programs, and analyze equipment for proper balance of preventive to corrective work order ratio.
• Supports maintenance driven quality events including but not limited to Deviations/Investigations, Out of Tolerances (OOTs), Change Controls, Root Cause Analysis and FMEA’s.
• Ensures regulatory and job training remains current by promptly completing required training.
• Complies with all company and/or site policies and procedures.
• Demonstrates willingness to learn new skills as required.
• Available for other duties as required.
• Ensures site compliance with all local, state and federal regulations including and equivalent to Federal Drug Administration (FDA), Environmental Protection Agency (EPA), Occupational Safety and Health Administration (OSHA), and Drug Enforcement Agency (DEA) as applicable (TSA) Transportation Security Administration.
• Ability to work independently and with minimal guidance/oversight.
• Job duties performed routinely require exposure to and handling of biological materials and hazardous chemicals. 

Requirements

• B.Sc./M Sc. in chemical, mechanical, electrical, industrial engineering or similar field is required
• Minimally 5+ years of experience as a facility engineer or working within an industrial manufacturing or regulated environment is required, ideally has cGMP cleanroom manufacturing experience under aseptic conditions
• Experience with HVAC and building management systems is required
• Experience with SAP and MS Office is required
• Proficiency in English (verbal and written) and strong communication skills
• Experience with a CMMS or similar maintenance management system is preferred
• cGMP manufacturing familiarity is preferred
• Ability to apply engineering principles and techniques to the solution of equipment, buildings, and infrastructure.
• Construction/project management principles. 

We are seeking a skilled Water Treatment Engineer to support the performance, reliability, and optimization of ultrapure and wastewater treatment systems in a semiconductor manufacturing environment. The ideal candidate will have hands-on experience with wastewater treatment systems, strong data analysis skills, and a proven ability to troubleshoot and enhance complex water treatment processes.

Responsibilities:

• Monitor and assess the condition and performance of wastewater treatment systems
• Analyze operational data (pressure, flow rate, conductivity, etc.) to optimize system performance
• Adjust maintenance schedules based on system performance data and trends.
• Troubleshoot and optimize chemical dosing and regeneration parameters to minimize downtime and improve reliability.
• Identify and analyze biological, chemical, or particulate fouling sources.
• Collaborate with engineering teams to modify operational parameters or implement pre-treatment strategies.
• Develop, update, and maintain standard operating procedures (SOPs) to ensure compliance with performance and safety standards.
• Any other duties or responsibilities that may be assigned to you in your role.

Skills Required:

• 3+ years in wastewater or ultrapure water treatment system operations and maintenance engineering.
• Semiconductor or high-purity water treatment experience is a plus.
• Strong technical knowledge of water treatment systems
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to interpret and act on complex system data.

Education / Licenses / Certifications:

• Bachelor’s degree in Mechanical, Chemical, Environmental Engineering, or a related discipline preferred.
• Proof of education, licenses, and certifications will be required where applicable. 

Benefits:

• Medical, Dental and Vision Insurance 
• Life, Short-Term, Long-Term Disability Insurance 
• Training and Education Assistance 
• 401k Retirement Plan 
• Extra Annual Leave with Years of Service 
• Maternity/Paternity Leave 
• Recognition Rewards

#LI-DNP

Your Impact

As a Priority Support Engineer, you’re not just resolving technical issues — you’re a trusted advisor and escalation authority for Axon’s most critical customers. You’ll have the autonomy to assess complex, high-impact cases, make real-time decisions to stabilize customer operations, and drive cross-functional efforts that shape how Axon delivers world-class support.

You’ll act as the bridge between frontline support, higher support tiers, engineering, and product teams — using your technical acumen and customer insight to influence product improvements, operational workflows, and service-level strategies. Your independent judgment and ownership mindset will directly impact customer trust, product adoption, and Axon’s brand reputation in the field.

This role offers high ownership and autonomy. Engineers are trusted to make informed decisions in complex, ambiguous situations, prioritize high-value work, and serve as technical SMEs for Axon’s most strategic customers. Candidates must be sharp, adaptable, and unstoppable: capable of navigating high-pressure environments with confidence and clarity.

What You’ll Do

Location: Candidates must be located in the following locations: Scottsdale, AZ
Reports to: Manager, Technical Support

• Case Ownership: Full lifecycle ownership of support cases for designated high-priority customers, including triage, prioritization, resolution, and follow-up.
• Independent Judgment: Empowered to make real-time decisions regarding escalation paths, interim solution, and technical approaches based on severity and customer impact.
• Defined Goal Execution: Operate with broad autonomy once objectives are defined (e.g., resolution efficiency, escalation reduction), with latitude in selecting methods and tools to meet outcomes.
• Subject Matter Expertise: Act as a technical SME across specific product domains; contribute to Tier 1 enablement, documentation, and internal training as needed.
• Process Adaptability: Authorized to adapt standard procedures when warranted by situational demands, provided decisions align with core support and customer service objectives.
• Ambiguity Management: Expected to take initiative in undefined or novel scenarios, identifying risks and acting proactively with minimal or no direction.
• This role assumes a high degree of trust and requires consistency in decision-making, accountability for outcomes, and alignment with team-wide quality and communication standards.

What You Bring

• 2+ years technical support experience in complex software, hardware, or cloud-based environments
• Proven ability to exercise independent judgment and make time-sensitive decisions in ambiguous, high-stakes situations
• Deep technical aptitude in Windows environments, networking, mobile ecosystems, and cloud applications
• Exceptional communication and interpersonal skills with ability to adapt language and approach for audiences ranging from IT admins to command staff
• Demonstrated ownership mindset (#OWNIT): proactive, accountable, and results-oriented
• Strong problem-solving ability with a data-driven approach to identifying patterns and preventing recurrence
• Proven ability to work autonomously while effectively influencing across teams and functions

Preferred Qualifications

• Bachelor’s Degree
• Experience in Axon applications (Salesforce, MS Dynamics, JIRA, InContact, and Vonage)
• 2+ years in networking or telecommunications, ideally within public safety or government sectors
• Relevant technical certifications (Network+, CCNA, MCSA, etc)
• System Administration or Cloud Infrastructure certifications

Position Summary:

IEM is currently seeking a Supplier Quality Engineer for our Jacksonville, FL. locations and will report into the Director of Quality. The top priorities of this position will be to develop and maintain strong relationships with suppliers and vendors, as well as implement Vendor Management program and supporting metrics. Significant involvement with all areas of vendors/suppliers and manufacturing, while also increasing our communication and collaboration with key departments is instrumental in this position.

Please note: This position requires 100% in-office presence in our Jacksonville, FL. offices and does not offer remote work.
 

 ESSENTIAL FUNCTIONS:

• Ensuring suppliers for IEM maintains all regulations and requirements
• Updating the supplier database with continuously updated records of performance
• Creating quality control guidelines and protocols
• Providing advice to vendors on how to reduce defect rates
• Performing logistics tasks, such as communicating with vendors when supplies don’t meet quality standards
• Assessing products and supplies from vendors to ensure their quality
• Creating and promoting strategies to increase the quality and efficiency of systems and products
• Conducting audits of supplier management quality systems
• Acting as a liaison between vendors and company leaders, determining solutions to any challenges to quality standards
• Visiting vendor facilities to ensure they uphold quality standards
• Developing and maintaining relationships with suppliers and vendors
• Oversee and develop process improvements strategies and document
• Develop & implement Vendor Management program and supporting metrics
• Any other related duties in connection with the position including but not limited to:
• Risk Assessments, PFMEA, Six Sigma, 5S, FOD Prevention, Kaizen, IPC Standards
• Understanding of UL, CSA and other regulatory requirements
• Must abide by Health and Safety Rules and have demonstrated commitment to good housekeeping/organizational practices
• Responsible for compliance to company and regulatory standards
• Maintain and develop strong working relationships with other departments outside vendors
• Strive for continuous improvement in all aspects of the work environment, this includes active participation in company committees, project teams and relevant job training
• Commit to self-development goals as discussed with your Vice President and attend company-sponsored training
• Perform other duties as assigned by Vice President
• The candidate will be expected to perform additional duties as assigned to support the team and organization

COMPETENCIES:

• Verbal and written communication proficiency
• Attention to detail
• Thorough compliance knowledge
• Organizational and time management skills
• Reliable with a respect to confidentiality
• Quality management systems
• Root-cause analysis
• Quality Control
• Technical Skills
• Quality Engineering
• Collaboration
• Statistics
• Continual improvement process
• Supply chain experience
• Quality Assurance

EDUCATION AND EXPERIENCE:

• Diploma in relevant field with work experience
• Related experience on Infor Syteline ERP systems
• Advanced proficiency of Microsoft Office applications (Access, Outlook, Excel and PowerPoint)
• Excellent verbal and written communication skills
• Ability to multi-task and prioritize in a fast-paced manufacturing environment
• Understanding of Mechanical Engineering and/or Electrical Engineering and/or Materials Engineering
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization

PHYSICAL/MENTAL/ENVIRONMENTAL:

Physical Demands:

Activities: Sitting – 70% Walking/Standing – 30% Travel – 30%

Lifting: Must be able to lift up to 10lbs.

Vision: Long periods of close work on computer screen.

Mental Demands: Interpret, analyze, research and handle multiple tasks simultaneously.

Environment: Climate controlled office space 70% with 30% in production areas.

Position Overview

Woolpert is hiring a Senior Engineer Project Manager to join our dynamic Aviation Team. This position reports to our Aviation leadership team and is responsible for leading and managing the design, planning, and delivery of aviation and airfield improvement projects. This role oversees technical document preparation, directs multidisciplinary teams, coordinates with stakeholders such as TxDOT and airport sponsors, and ensures projects are delivered within scope, schedule, and budget. The ideal candidate brings strong civil engineering expertise, robust project management experience, and familiarity with FAA regulations and advisory circulars.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

Qualified candidates may be eligible for a signing bonus of up to $8,000 based on experience and role alignment. Bonus eligibility is contingent upon 12 months of service and must be repaid if the employee leaves the company within one year of hire.

What You Will Do:

Project Leadership & Management

• Provide strategic and technical leadership for aviation and airfield engineering projects from conception through completion. Lead the development of construction plans, technical specifications, contract documents, and specialized engineering reports in alignment with FAA, TxDOT, and sponsor requirements. Establish clearly defined project scopes, prepare detailed fee proposals, and proactively manage project budgets, schedules, and resources to ensure successful and timely delivery.
• Monitor project performance using earned value metrics, milestone tracking, and forecasting tools, identifying risks early and implementing effective mitigation strategies. Ensure consistency and quality across deliverables through structured QA/QC processes and adherence to applicable engineering standards, FAA Advisory Circulars, and best practices in airfield planning, pavement design, grading, geometry, and safety areas.
• Facilitate kickoff meetings, progress reviews, design workshops, and internal coordination sessions to maintain alignment across stakeholders and team members. Prepare and deliver accurate monthly invoicing, financial updates, and comprehensive Project Status Reports (PSRs) that outline progress, issues, and recommended actions. Provide mentorship, guidance, and technical oversight to project engineers and designers, supporting professional development and strengthening the aviation group’s overall technical capabilities.

Stakeholder Coordination & Communication

• Serve as the primary point of contact for airport sponsors, TxDOT, and key stakeholders throughout the project lifecycle. Coordinate meetings, prepare agendas and schedules, document decisions, and ensure clear and timely communication to maintain project alignment. Build and maintain positive client relationships through proactive engagement, responsiveness, and consistent follow-through.

Documentation & Compliance

• Review sponsor-provided documents, including as-built drawings and prior design reports. Coordinate with subconsultants for surveying, geotechnical investigations, environmental studies, and specialized technical services. Ensure project documentation complies with federal, state, and local requirements, including FAA grant processes, environmental regulations, and permitting rules.

Bidding & Construction Support

• Manage the bidding process by organizing pre-bid meetings, issuing addenda, responding to contractor inquiries, and evaluating proposals. Provide construction-phase support through site visits, review of change orders, coordination with contractors, and monitoring of field activities to uphold quality standards and design intent.

Project Close-Out

• Review and approve final engineering drawings, compile project cost summaries, and participate in final inspections with TxDOT and project sponsors. Ensure all close-out documentation is delivered accurately and in accordance with sponsor and regulatory requirements.

Client & Team Management

• Lead cross-functional internal and external teams through project execution. Strengthen client relationships by identifying opportunities during proposals, RFP/RFQ processes, and ongoing engagements. Partner with management to evaluate client satisfaction, manage project risks, and support the overall financial health of the aviation practice. Provide direction, mentorship, and performance support to junior staff.

What You Will Bring:

• Bachelor’s degree in Civil Engineering
• Professional Engineer (PE) license required
• 10+ years of project management experience in aviation and airfield design
• Familiarity with FAA Advisory Circulars and federal aviation regulations preferred
• Proficiency in AutoDesk Civil 3D, AutoCAD, and related engineering software
• Strong working knowledge of Microsoft Office
• Excellent written and verbal communication skills
• Strong analytical and technical reading skills
• Ability to respond professionally to sensitive client inquiries
• Ability to sit for extended periods; occasional reaching, bending, and lifting up to 40 pounds
• Occasional travel required for site visits and client meetings

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

#LI-Hybrid

Inovalon is a leading cloud-based healthcare technology company that leverages data analytics and AI to drive meaningful improvements across the healthcare ecosystem. The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon’s central AI and machine learning hub. This team partners with Provider, Payer, and Pharmacy business units to identify, build, and deploy AI solutions that improve clinical and operational outcomes at scale. 

In this role, you will contribute to both classical machine learning and generative AI applications, including LLM-based and agentic solutions. You will work across the full model development lifecycle on a modern, cloud-native AWS stack, collaborating closely with AI Product Managers and a distributed team of senior engineers across the U.S. and India. 

Key Responsibilities

• Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications. 
• Build and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines. 
• Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks. 
• Develop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units. 
• Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions. 
• Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches. 
• Write robust, production-ready code following engineering best practices; participate in code and design reviews. 
• Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality. 
• Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions. 
• Support integration of frontend components into ML-powered features where applicable. 
• Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos. 
• Adhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work. 
• Maintain compliance with Inovalon’s policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success. 

Qualifications

Required 

• Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training. 
• Expert-level Python proficiency; Python is the team’s primary language and is the highest-priority technical requirement. 
• Hands-on experience building and deploying classical ML models in production using scikit-learn. 
• Demonstrated experience with generative AI, LLMs, or agentic application development. 
• Proficiency with PyTorch and neural network architectures. 
• Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation. 
• AWS cloud experience, including deploying and managing cloud-native workloads. 
• Containerization experience with Docker and/or Kubernetes. 
• Strong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges. 
• Daily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow. 

Preferred 

• Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling. 
• Frontend development skills to support full-stack ML feature work. 
• Healthcare domain experience or exposure to HIPAA-regulated environments. 

Education 

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related technical field required. 
• Master’s degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred. 

Physical Demands and Work Environment 

• Sedentary work (i.e., sitting for long periods of time). 
• Exerting up to 10 pounds of force occasionally and/or a negligible amount of force. 
• Subject to inside environmental conditions. 
• Travel for this position will include less than 10% locally, usually for training purposes. 

The Regional Safety Engineer provides hands-on safety and environmental support to Archer’s Huntington Beach composites manufacturing site and Hawthorne Airport flight operations. This role owns day-to-day implementation of Archer’s Safety and Environmental Services programs in the region, with a focus on high-hazard equipment (autoclaves, pressure vessels, ovens, CNC machining, dust collection, compressors, chillers) and aircraft/ground operations. The engineer partners closely with site leadership, maintenance, facilities, and flight ops to drive risk down while enabling schedule.

Key Responsibilities

• Act as primary safety engineer for Huntington Beach and Hawthorne, serving as the first point of contact for supervisors and technicians on EHS questions and issues.
• Lead pre-startup safety reviews (PSSRs) and buy-offs for regional equipment and processes, including autoclaves, ovens, pressure vessels and air receivers, CNC/gantry systems, dust collection, compressed air/vacuum systems, and refrigeration/chiller systems.
• Own regional compliance for Cal/OSHA pressure vessel/air receiver requirements (registration, inspections, relief devices, nameplate verification) in coordination with Facilities and third-party inspectors.
• Support electrical and machine-safety risk assessments for 480 V, high-amp equipment (autoclaves, ovens, chillers, compressors, CNC) including arc-flash label implementation, LOTO procedures, guarding, and safe-work practices.
• Develop and maintain documented operating envelopes and safety limits for thermal processes (autoclave cures, oven cycles, reefer operations), aligned with OEM ratings and Archer’s manufacturing requirements.
• Evaluate combustible dust and airborne composite hazards (machining/trim cells, sanding, dust collectors); drive controls such as source capture, collector design/protection, housekeeping standards, and respiratory protection where needed.
• Oversee safe management of compressed air and vacuum systems, including guarding of rotating components, piping/hosing integrity, condensate/oil handling, and prevention of trip, struck-by, or stored-energy hazards.
• Coordinate hazardous materials and waste controls related to site equipment (refrigerants such as R-134a, process oils, resins, water-treatment media), including labeling, storage, spill response, and proper waste classification and disposal.
• Provide direct safety support to Hawthorne flight operations: ramp safety, aircraft ground handling, walk-around/maintenance hazards, tug and GSE use, fueling interfaces, and coordination with airport rules and procedures.
• Conduct routine inspections and structured hazard walks at both locations, generate clear corrective actions, and track closure with accountable owners.
• Support incident investigations, near-miss reviews, and root-cause analysis for the region; ensure findings translate into practical engineering or procedural controls.
• Deliver targeted safety training and toolbox talks for local teams (LOTO, machine safety, pressure systems, flight-line safety, contractor controls), coordinating with the central safety training function.
• Partner with Facilities and Projects on change management (MOC) for new equipment, relocations, and process changes; ensure regulatory triggers (Cal/OSHA, fire code, air district, building permits) are identified and addressed early.
• Maintain site-level EHS documentation: procedures, checklists, inspection records, equipment safety files, and PSSR/buy-off packages for assigned assets.
• Support contractor and vendor management in the region, including pre-job risk review, orientation expectations, and safe work verification around high-hazard systems.

Required Qualifications

• Bachelor’s degree in Safety, Industrial/Mechanical/Manufacturing Engineering, Environmental Health & Safety, or related technical field; equivalent experience considered.
• 5+ years of EHS or safety engineering experience in aerospace, aviation maintenance, advanced composites, or heavy manufacturing, with direct exposure to high-hazard equipment (pressure vessels, ovens, CNC/machining, or similar).
• Demonstrated experience supporting flight operations, aircraft maintenance, or airport/ramp environments (Part 91/135/121 or experimental flight test), including familiarity with flight-line hazards and controls.
• Strong working knowledge of OSHA/Cal-OSHA requirements and relevant codes/standards for: machine guarding, LOTO, electrical safety, pressure vessels/boilers, walking-working surfaces, and respiratory protection.
• Hands-on experience conducting formal hazard/risk assessments and PSSRs, writing practical procedures, and implementing engineered and administrative controls in active operations.
• Proven ability to collaborate on the floor with technicians, maintenance, and operations leaders, and to influence without formal authority across functions and locations.
• Willingness and ability to travel regularly between Huntington Beach, Hawthorne, and other regional sites (target 25–40%).

Preferred Qualifications

• Experience with composites manufacturing processes (prepreg layup, bonding, cure, trim) and associated chemical and dust hazards.
• Direct experience with autoclave and large industrial oven safety, including OEM interfaces, over-temperature/over-pressure protection, and validation/qualification activities.
• Prior work with combustible dust systems and dust collectors in aerospace or industrial settings.
• Familiarity with airport operations manuals, ground handling standards, and coordination with airport authorities or FBOs.
• Professional certification such as CSP, CIH, CHMM, or equivalent, or clear progress toward one.

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $117,800 - $140,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.  

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Your Impact

On the Real Time Operations (RTO) Live Streaming team we are building the next generation of live streaming for mission-critical situations. Through Fusus we unify live video, sensor data, and alerts into a single operational view to empower agencies to make faster, better decisions. We design, deploy and manage hardware + software used by first responders and security professionals worldwide. 

As a Senior Software Engineer you will: Build the native foundation for edge video and IoT intelligence across Axon Body cameras and FususCOREs. Own high-performance pipelines from sensor to inference. Shape how SDKs are consumed across mobile and backend surfaces. Define standards for ABI stability and long-term compatibility. Influence architecture decisions at the boundary of hardware, media, and AI.

What You’ll Do

• Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
• Reports to: Senior Software Engineering Manager
• Define the native platform architecture for the next generation of Axon Fusus hardware: this is an opportunity to set the technical direction from vendor and SoC selection through production deployment.
• Set the SDK strategy: define the ABI contracts, versioning guarantees, and FFI boundaries that will outlast any single product generation.
• Design and ship cascade AI pipelines at the edge: chain detection, classification, and analytics models across NPU/GPU/VPU resources to deliver real-time intelligence within the power and thermal constraints of embedded hardware worn + deployed in the field.

What You Bring

• 8+ years of professional software development experience.
• Proven track record of designing and building latency-critical systems that run on embedded and IoT devices.
• Experience designing SDKs with stable ABIs, clear versioning strategies, and cross-language FFI design.
• Familiarity with ARM SoCs (RK3588, Jetson, QCS series) beyond x86 embedded.
• Sets a high technical bar for the team by writing well-tested, maintainable code and leading code and technical design reviews. Leads from the front setting AI coding standards for the team.
• Experience with hardware-accelerated video pipelines a plus.
• Hands-on experience with inference at the edge using NPUs or GPUs — TensorRT, CUDA, ONNX Runtime, or similar a plus.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

The Test Engineer is responsible for planning, executing, and supporting verification and qualification testing activities for aerospace electrical and electromechanical products. This role supports New Product Introduction (NPI), qualification, and flight-critical development programs through the development of test methods, fixtures, instrumentation, and data acquisition systems. The engineer will work closely with cross-functional engineering teams to validate product performance, investigate failures, and ensure compliance with technical and regulatory requirements.

Key Responsibilities

• Support development and execution of prototype, development, and qualification testing activities for aerospace products and subsystems.
• Perform testing on aerospace electronic control units, generators, rotating equipment, and related subassemblies.
• Design, assemble, and maintain test setups, fixtures, instrumentation, and supporting hardware required for validation activities.
• Configure and operate laboratory equipment to capture and analyze digital test data.
• Evaluate test results, identify performance issues, and provide recommendations for corrective actions or design improvements.
• Troubleshoot product and test system failures during development and qualification activities.
• Collaborate with design engineering teams to establish effective test methodologies and ensure compliance with product specifications.
• Assist with environmental, developmental, and qualification testing activities involving electrical power generation and control systems.
• Support modifications to test stands, instrumentation, control circuitry, and automated test systems.
• Participate in programming and configuration of computerized test systems used for test execution and data collection.
• Prepare detailed technical documentation including test procedures, work instructions, reports, and data summaries.
• Coordinate with facilities and operations personnel regarding installation and infrastructure support for new test equipment.
• Maintain compliance with company safety standards and contribute to continuous improvement of environmental, health, and safety initiatives.
• Provide support during extended work schedules or off-shift testing activities when required to meet program timelines.
• Travel occasionally in support of testing activities, customer requirements, or supplier coordination.
• Perform additional engineering or laboratory support tasks as assigned.

Qualifications

Education & Experience

• Bachelor’s degree in Engineering or a related technical discipline required.
• Minimum of four (4) years of relevant engineering or test experience preferred.
• Candidates with an Associate’s degree in Engineering or related field combined with six (6) or more years of applicable experience will also be considered.

Required Skills & Background

• Experience supporting aerospace product development, validation, or qualification testing environments.
• Familiarity with aerospace electrical power generation systems and associated testing methods.
• Knowledge of hydraulic and oil-cooled systems is highly desirable.
• Strong analytical and troubleshooting capabilities with the ability to diagnose complex technical issues.
• Ability to communicate technical findings clearly through both written reports and verbal discussions.
• Effective interpersonal and collaboration skills within cross-functional engineering environments.
• Strong organizational skills with close attention to accuracy and detail.
• Experience creating technical procedures, test instructions, and formal engineering reports preferred.

Salary Range: $90,000-$110,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience. 

Staff Software Engineer (Product) 

We’re looking for a Staff Software Engineer (Product) to help shape the technical evolution of our product. This is a senior individual contributor role focused on building high-quality product systems, making sound technical decisions, and supporting other engineers through collaboration and example. 

This role is hands-on and does not involve people management. You’ll work closely with engineers, Product, and Design to deliver meaningful customer value while keeping an eye on long-term maintainability and quality. 

What You’ll Do 

• Design and build complex, customer-facing product features and systems 
• Take ownership of technical decisions within a product area or initiative 
• Work closely with Product and Design to shape practical, scalable solutions 
• Contribute to architectural discussions and technical direction across teams 
• Maintain a high bar for code quality through reviews and shared standards 
• Support and mentor other engineers through collaboration and knowledge sharing 
• Participate in production support and help resolve incidents when needed 

What We’re Looking For 

We’re looking for an experienced engineer who is comfortable working with autonomy, navigating ambiguity, and influencing outcomes through clear thinking and collaboration. 

• Strong experience building and maintaining production software 
• Experience designing and delivering complex systems or features end to end 
• Solid background in modern web application development 
• Experience with TypeScript and React, or similar modern frontend technologies 
• Backend experience with Node.js and/or .NET (C#) 
• Experience working in a cloud environment (Azure preferred, but not required) 
• Familiarity with API design, data modelling, and system boundaries 
• Clear communication skills and a thoughtful, collaborative approach 

We don’t expect deep expertise in every area. Strength in some areas and working knowledge in others is absolutely fine. 

Technical Environment (High Level) 

You’ll work across much of our stack, with flexibility to lean into your strengths. 

• Frontend: React, TypeScript, modern UI patterns 
• Backend: Node.js and/or .NET services 
• Data: Relational databases (e.g. Postgres, Azure SQL, or similar) 
• Cloud: Microsoft Azure and standard cloud tooling 

Experience with infrastructure as code, performance optimisation, or AI-enabled features is a plus, but not required. 

Nice to Have 

• Experience in B2B SaaS or complex product environments 
• Exposure to regulated, security-conscious, or enterprise systems 
• Experience contributing to cross-team technical initiatives 
• Interest in mentoring and supporting other engineers 

Final Note 

We value good judgment, pragmatic engineering, and collaboration over exhaustive checklists. If this role sounds broadly aligned with your experience, we’d be happy to hear from you—even if you don’t meet every requirement. 

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The Role  
The Data Center Infrastructure Engineer will lead on-site delivery and deployment of hardware in new locations. You will plan, coordinate, and supervise activities from shipment arrival through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. 
 
Key Responsibilities: 
Planning & Coordination 
-Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare sites for delivery and installation. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. 
 
On-Site Delivery & Installation 
 -Supervise receiving, unpacking, racking, cabling, and powering hardware equipment. 
 -Ensure configuration, firmware upgrades, and integration with management systems follow standards. 
 -Work closely with vendors, contractors, and local staff during the installation phase. 
 
Quality & Readiness 
 -Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. 
 
Collaboration & Reporting 
 -Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady state management. Contribute feedback to improve hardware design and deployment playbooks. 
 
Requirements: 
 -5+ years experience in data center, hardware, or IT field delivery roles. 
 -Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). 
 -Proven track record coordinating deployments across multiple stakeholders and vendors. 
 -Ability to read and interpret technical documentation, layouts, and wiring diagrams. 
 -Excellent organizational, communication, and problem-solving skills. 
 -Willingness to travel frequently (sometimes at short notice). 
 
Preferred Experience: 
 -Experience with GPU/HPC or high-density computer environments. 
 -Familiarity with change management, asset tracking, and quality assurance processes. 
 -Understanding of health, safety, and environmental standards in data center or industrial settings. 

Key Employee Benefits in the US:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $90 -$140k.

Join Nebius Today!

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You’ll help shape the next generation of Overstory’s modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you’ll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready – balancing scientific rigor with practical engineering excellence. As a senior technical leader, you’ll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You’ll Do

In collaboration with data, ML, and science colleagues, you will:

• Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
• Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
• Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
• Build reproducible experimentation frameworks and model evaluation workflows.
• Scale models from research to production with a focus on performance, reliability, and explainability.
• Lead the evolution of ML systems, tooling, and processes — ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
• Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.

Skills & Experience

• Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
• 10+ years of experience designing and building production-grade ML pipelines and systems 
• Strong background in deep learning, computer vision, or remote sensing
• Skilled in designing end-to-end ML systems — from data ingestion and preprocessing to deployment and monitoring
• Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
• Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
• Strong communication skills and ability to collaborate across technical and scientific domains
• Comfortable leading architectural discussions and mentoring other engineers

Nice To Have

• Background in wildfire science, forestry, or remote sensing
• Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
• Experience in model interpretability and data provenance for environmental ML systems
• Experience with deep learning models for weather or climate data
• Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Vast is looking for an Electrical Engineer, Crew Avionics, reporting to the Manager of Human Interface Avionics, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. 

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Own hardware from “cradle to grave”, coordinating with other teams to rapidly iterate on and deliver quality avionics products. You will own your hardware products in both success and in failure, though in the case of the latter you can expect support and resources rather than reprimand.
• Translate high-level operational requirements into detailed electrical specifications and design documents.
• Perform trade studies and analyses to select optimal components, technologies, and design approaches.
• Ensure that development and testing is carried out in a safe and controlled manner, prioritizing the safety of employees and the astronaut crew above all else. 
• Design and develop complex multi-layer printed circuit boards (PCBs) for flight hardware, adhering to rigorous space-grade standards.
• Schematic capture, component selection, and layout for high-reliability boards in a punishing space environment.
• Work with the PCB layout design team to help with the layout phase of design, and occasionally step up and layout a coupon or even flight PCB yourself 
• Perform signal integrity, power integrity, and EMI/EMC analysis to ensure robust designs.
• Analysis & Simulation:
• Conduct circuit analysis, worst-case analysis, fault tolerance analysis, and derating analysis.
• Utilize simulation tools (e.g., SPICE, MATLAB/Simulink) for design verification and optimization.
• Test & Verification:
• Develop and execute comprehensive test plans for PCBs and integrated systems.
• Troubleshoot and debug hardware, identify root causes, and implement corrective actions.
• Support environmental testing (vibration, shock, thermal vacuum, radiation, EMC) and flight qualification campaigns.
• Documentation & Review:
• Generate clear and concise design documentation, test procedures, and reports.
• Participate in design reviews and provide technical guidance to junior engineers.
• Participate in design reviews for peer’s PCB designs.
• Collaboration:
• Work closely with cross-functional teams including software, mechanical, systems engineering, manufacturing, test, and operations to ensure seamless cooperation on bringing the design to its final integration, flight, and decommissioning. 
• Communicate technical information effectively to both technical and non-technical stakeholders.

Minimum Qualifications:

• Bachelor’s degree in Electrical Engineering or a related field.
• Some experience in electrical engineering, with a focus on system and PCB design.

Preferred Skills & Experience:

• Proficiency in schematic capture and PCB layout tools (e.g., Altium Designer, Cadence Allegro, KiCad).
• Experience with analog and digital circuit design, microcontrollers, FPGAs, and communication interfaces (e.g., I2C, SPI, Ethernet, RS-422).
• Understanding of signal integrity, power integrity, and EMI/EMC principles.
• Experience with simulation tools (eg. SPICE) to evaluate design decisions and de-risk new circuit designs before spending the money on hardware. 
• Experience with hardware testing, troubleshooting, and debugging.
• Familiarity with audio electronics (speakers/microphones/amplifiers
• Experience with high-reliability/fault-tolerant electronics for aerospace or defense applications.
• Familiarity with space-grade components and radiation effects.
• Experience with human-machine interface (HMI) design principles.
• Experience designing audio systems - whether professionally or for your home movie theater!
• Experience designing lighting systems - whether professionally or for your spooky Halloween LED display!
• Familiarity with complex system architectures.
• Experience with environmental testing for flight hardware.
• Proficiency in scripting languages (e.g., Python) for automation and data analysis.
• Hands-on engineering - equal willingness to work at your desktop computer, with a soldering iron in the lab, and with a broom to clean up afterwards. 
• Ability to work effectively in a fast-paced, dynamic, and team-oriented environment.
• Excellent problem-solving and communication skills.
• Ability to independently but also collaboratively as a teammate to achieve ambitious goals.
• Willing to make mistakes, take responsibilities, work independently and be transparent about your work

Additional Requirements:

• Able to lift 25 lbs unassisted.
• Willingness to work evenings and/or weekends to support critical mission milestones.

Pay Range: 

• Electrical Design Engineer I: $103,000
• Electrical Design Engineer II: $112,340 - $159,468
• Senior Electrical Design Engineer: $137,760 - $195,552

ABOUT THE JOB

WHY WE'RE HERE: 

We are hiring V&V System Engineers to support production of a Group 5 autonomous aircraft. 

The systems engineering team is looking for V&V Systems Engineers for hardware verification and execution across the full product lifecycle - from design verification testing (DVT) through environmental qualification, production acceptance, and ground & flight test. This role is accountable for demonstrating that all hardware meets system level requirements and technical performance metrics (TPMs) before fielding, and for ensuring that verification activities are planned, executed, and documented in accordance with the program Systems Engineering Management Plan (SEMP).

REQUIRED QUALIFICATIONS

• Education:
  • B.S. in aerospace, mechanical, electrical or similar engineering or technical field
• Experience:
  • 3+ years of experience in systems engineering, hardware qualification, or test & evaluation in aerospace, defense, or similarly regulated industries
  • Direct experience supporting environmental qualification testing of electronic or electromechanical hardware (e.g., LRUs, avionics, actuators)
• Technical Knowledge:
  • Working knowledge of MIL-STD-810 (environmental test methods: vibration, shock, temperature, altitude, humidity, salt fog, sand & dust)
  • Familiarity with MIL-STD-461 (EMI/EMC: conducted/radiated emissions and susceptibility — CS101, CE102, RE102, RS103, CS114-CS118)
  • Familiarity with MIL-STD-464 (electromagnetic environmental effects: bonding, HERP, HERO, TEMPEST)
  • Understanding of MIL-STD-704 (aircraft electric power characteristics) as it applies to utilization equipment
  • Understanding of verification methods (Test, Analysis, Demonstration, Inspection) and when each is appropriate
  • Experience with requirements traceability — decomposing system-level requirements to component-level verification evidence
  • Ability to read and interpret qualification test reports, certificates of conformance, and supplier technical data packages
• Process & Methodology:
  • Experience with V&V planning: developing verification cross-reference matrices (VCRMs), test plans, and verification evidence packages
  • Understanding of Qualification by Similarity (QBS) methodology, including similarity assessments and gap analysis for COTS/MOTS hardware
  • Familiarity with the systems engineering V-model and how hardware qualification feeds into system-level acceptance
• Tools:
  • Proficiency with requirements management tools (e.g., Jama, DOORS, Polarion)
  • Proficiency with Microsoft Office (Excel for compliance matrices and data analysis, Word for test plans and reports, PowerPoint for technical reviews)
• Other:
  • U.S. citizenship required
  • Ability to obtain and maintain a U.S. security clearance

PREFERRED QUALIFICATIONS

• 5+ years in hardware qualification or environmental test engineering
• Experience with DO-160 (RTCA environmental test standard) and cross-referencing DO-160 results against MIL-STD-810/461 requirements
• Experience with MIL-HDBK-310 (global climatic data) and its application to operational environment definition
• Hands-on experience directing or witnessing environmental testing at a qualification test lab
• Experience with Foundry, Confluence, or similar platforms for tracking qualification status and engineering data
• Experience supporting airworthiness or safety-of-flight qualification programs
• Familiarity with AS9100 or equivalent quality management systems
• Prior work on UAS, tactical aircraft, or similar defense platforms
• Active Secret clearance or higher

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Experience with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Experience developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Signal Processing Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Experience with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Experience developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for leading the development discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Lead the development of discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Mentor engineers and provide technical leadership on signal processing approaches and best practices
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Strong proficiency with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Demonstrated technical leadership experience with ability to mentor engineers and drive technical direction
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Proven expertise developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Signal Processing Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for leading the development discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Lead the development of discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Mentor engineers and provide technical leadership on signal processing approaches and best practices
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Strong proficiency with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Demonstrated technical leadership experience with ability to mentor engineers and drive technical direction
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Proven expertise developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

We are looking for a Senior Launch Service Mission Manager to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for owning the interface between the spacecraft and launch providers for all of Anduril’s spacecraft. You will be responsible for the coordination of all deliverables to the launch provider and act as the primary point of contact for all things launch to Anduril’s spacecraft customers. The Launch Integration team will work closely with related teams, such as the mechanical and structural spacecraft design, systems engineer, electrical design, program management, spacecraft mission operations, etc. to ensure requirements satisfaction across all launch platforms including commercial rideshare, national security space launch.

This role is tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Own the launch integration plans and procedures for various spacecraft programs launching to all orbital regimes
• Provide all deliverables to the launch providers to enable launch integrations at various payload processing facilities
• Collaborate across multiple teams to plan, build, and test complex functionality
• Triage issues, root cause failures, and coordinate next steps
• Coordinate with launch providers, customers, and internal spacecraft engineering teams to turn ensure satisfaction of all launch provider requirements for spacecraft and payloads
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Work with other teams and government agencies to achieve the required licenses (FCC, NOAA, etc) and comply with regulations for launching spacecraft

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Mechanical Engineering, Aerospace Engineering, or other engineering degree
• 3+ years of professional launch experience
• Experience conducting launch integration operations with an emphasis on safety and reliability
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Willingness to support launch-related travel as needed

PREFERRED REQUIREMENTS 

• Experience with coding or automating functions to improve efficiency and delivery to customers and launch providers
• A desire to work on critical spacecraft systems in support of the US government and our allies
• Experience working with launch vehicles, spacecraft and other systems
• Experience supporting spacecraft environmental test campaigns
• Experience designing and integrating mechanical and electrical ground support equipment for spacecraft environmental test campaigns and launch integration campaigns
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

As a RF Communications Engineer for our Space team, you will contribute to the design of all satellite communications subsystem to include but not limited to bus TT&C, mission data links and inter-satellite links. You will be responsible for possessing deep knowledge on RF and optical systems to include link budget ownership, subsystem design and the integration of NSA approved Type 1 encryption. You will be responsible for authoring space to ground ICD’s and become familiar with Anduril’s ground software enterprise and orbital flight software systems. The Spacecraft Comms team will work closely with related teams, such as the spacecraft design, ground, and flight software, etc., to help improve both the ground and satellite-based capabilities but above all else will be responsible for the successful design, test and operations of the various communications links onboard Anduril’s fleet of spacecraft

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Contribute to the spacecraft communications subsystems for various spacecraft programs in all orbital regimes
• Integrate with legacy systems to unlock 21st-century capabilities.
• Develop modern, software-defined approaches to autonomous spacecraft communications leveraging proliferated constellations of ground and space-based assets
• Own space-to-ground and space-to-space ICDs and designs for communication subsystems
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Electrical Engineering, RF Engineering, Computer Science, or other engineering degree
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Flexible and agile problem solving skills
• Working knowledge of and experience with MATLAB
• Ability to quickly understand and navigate complex systems and detailed requirements
• Experience with RF subsystem design for space-space and space-ground in multiple orbital regimes
• Experience with optical inter-satellite and optical space-ground systems
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including creating documentation and training materials
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Experience testing comms subsystems in laboratory environments that mimic the space environmental constraints
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Exposure to ground station operations and providers
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Computer Vision Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities