Key Responsibilities:

• Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI-enabled operations
• Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI-assisted observability and support capabilities
• Hands on approach to getting work done,this role requires a “roll your sleeves up” mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability
• Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness
• Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features
• Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI-enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self-healing where appropriate)
• Proactive participant in architectural and design decisions, including AI-ready telemetry, data quality, and model integration patterns for operational analytics
• Design and implement end-to-end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction
• Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value
• Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team
• Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI-assisted correlation/analysis to accelerate time-to-insight
• Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI-assisted runbooks and embedded into prevention mechanisms
• Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in-scope applications to enable AI/ML-driven operational insights
• Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure

Requirements:

• B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience
• Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI-enabled operations
• Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive-ready communication
• Hands-on experience building or operating AI-assisted capabilities (AIOps, ML-based anomaly detection, or GenAI workflows) in an engineering/production environment
• A passion for providing engineering support for highly available, performant full stack applications with a “Student of Technology” attitude
• Experience with relational database and NoSQL Database (e.g. Redis, Apache Cassandra)

Benefits:

• Retirement investment and tools designed to help you in building a sound financial future
• Access to education reimbursement
• Comprehensive resources to support your physical health and emotional well-being
• Family support programs
• Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about

Hybrid Work Model:

• BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all
• Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week
• Some business groups may require more time in the office due to their roles and responsibilities
• We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation

About BlackRock:

• At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being
• Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses
• Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress

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Key Responsibilities:

• Own complex mechanical subsystems for Anduril's drone products from concept to full rate production
• Gather requirements and work through trade studies to determine the best solution
• Perform hand calculations and FEA to develop, assess, and optimize designs
• Lead design reviews and obtain buy-in from other cross-disciplinary partners
• Build prototypes, define and execute hardware test plans, iterate on designs, summarise results and lessons learned
• Perform root cause investigations for hardware failures in development and production
• Balance operational needs across vehicle subsystems while optimising for development speed, mass, manufacturability, and cost
• Support critical hardware demonstrations with customers as needed

Requirements:

• 5+ years of mechanical/design experience in a professional setting
• Demonstrated ownership of a product from concept through production
• CAD skills (any platform) and ability to make high quality engineering drawings that meet industry standards
• Proficient in hands-on prototyping (machining, shop tools, welding, soldering)
• Strong understanding of engineering fundamentals in structures, fluids, thermal, and mechanisms
• Demonstrated project/technical leadership skills (collegiate project teams or professional settings)
• Ability to summarise technical content in a cohesive way to help inform and shape future requirements
• BS or MS in mechanical engineering, or equivalent work experience

Preferred Qualifications:

• Experience in Solidworks or NX, and PLM systems
• Solid understanding and application of GD&T
• Advanced designing skills for CNC machining, composites, sheet metal, injection moulding, PCBA integration
• Outstanding leadership and interpersonal skills
• Familiarity with running a qualification campaign for flight hardware
• Familiarity with designing for rugged environments
• Experience with electro-mechanical and electrical design concepts
• Experience with Formula SAE, Baja SAE, Design Build Fly, etc.

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Key responsibilities include:

• Leading design of wire harnesses and cable assemblies for autonomous UAVs
• Owning harness design process: concept, 3D CAD routing, analysis, and drawing release
• Performing electrical and environmental analysis for harness reliability
• Prototyping and testing harnesses in dynamic, mission-critical environments
• Collaborating with avionics, systems, and manufacturing teams for integration
• Mentoring engineers and driving harness design best practices

Required qualifications include:

• Bachelor's degree in Electrical, Mechanical, or Aerospace Engineering
• 8+ years in wire harness design for aerospace or robotics
• Strong CAD skills (NX or CATIA preferred) for 3D harness modeling
• Experience using EWIS design software (Zuken, Capital, etc)
• Expertise in GD&T, tolerance stack-ups, and IPC/WHMA-A-620 standards
• Experience with electrical schematics and connector selection
• Hands-on experience with harness fabrication or testing
• Ability to work independently and lead in fast-paced, cross-functional teams

Preferred qualifications include:

• Experience designing harnesses for UAVs, aircraft, or spacecraft
• Familiarity with EWIS compliance and RTCA DO-160 testing
• Proficiency in failure mode analysis (FMEA) and root cause investigations
• Knowledge of Teamcenter or similar PLM systems

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