This role will contribute to both our commercial and US government programs. You will be shaping the foundation of software that has to work flawlessly – because our satellites depend on it.

Responsibilities

• Design and build high-performance, reliable, mission-critical software that is used to send commands to space
• Take full ownership of features, working across backend and infrastructure
• Collaborate with multidisciplinary teams to define software requirements, architectures, and designs
• Continuously assess the evolving tech landscape and advocate for innovations that will improve our system
• Mentor teammates, share knowledge, and help raise the technical bar

Requirements

• 6+ years of professional experience as a software engineer
• Bachelor's degree in Computer Science or related technical field
• Strong proficiency in Python
• Experience with distributed systems and microservice architectures
• Experience and understanding of databases (Postgres, etc)
• Experience and understanding of pub/sub and streaming systems (RabbitMQ, Flink, etc)
• Track record of delivering high-impact features and improvements in a collaborative environment

Bonus

• Experience with Kubernetes
• Experience introducing metrics and monitoring to increase system stability
• Proficiency in C++, Go, Rust
• Experience building fleet management systems

What we offer

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

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This role will contribute to both our commercial and US government programs. You will be shaping the foundation of software that has to work flawlessly – because our satellites depend on it.

Responsibilities:

• Design and build high-performance, reliable, mission-critical software that is used to send commands to space
• Take full ownership of features, working across backend and infrastructure
• Collaborate with multidisciplinary teams to define software requirements, architectures, and designs
• Continuously assess the evolving tech landscape and advocate for innovations that will improve our system
• Mentor teammates, share knowledge, and help raise the technical bar

Requirements:

• 2-5 years of professional experience as a software engineer
• Bachelor’s degree in Computer Science or related technical field
• Strong proficiency in Python
• Experience with distributed systems and microservice architectures
• Experience and understanding of databases (Postgres, etc)
• Experience and understanding of pub/sub and streaming systems (RabbitMQ, Flink, etc)
• Track record of delivering high-impact features and improvements in a collaborative environment

Bonus:

• Experience with Kubernetes
• Experience introducing metrics and monitoring to increase system stability
• Proficiency in C++, Go, Rust
• Experience building fleet management systems

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

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This includes the User Interface (UI) and User Experience (UX) layers, as well as supporting middleware, services, and vehicle integration,particularly for electrification-related features such as charging, energy management, range insights, and battery status.

Operating at the intersection of Product, Design, Engineering, and Electrification, the SPE plays a critical leadership role in aligning cross-functional teams and ensuring high-quality feature execution.

This role requires a strong understanding of engineering systems and EV domain concepts, enabling effective translation of product, technical, UX/UI, and electrification requirements into clear, actionable work items and solutions.

The SPE owns and drives backlog strategy and execution within Jira, including story creation, refinement, grooming, and triage.

By incorporating Product Owner responsibilities, the SPE ensures well-defined acceptance criteria, alignment with program priorities, and readiness for implementation across multiple teams.

This role is accountable for cross-team coordination, dependency and risk management, and integrated validation from concept through launch, ensuring predictable program execution and high-quality release outcomes.

With broad organisational influence, the SPE partners closely with Product Management, Digital Product Design, Electrification teams, engineering scrum teams, and testing organisations to ensure seamless integration, feature readiness, and a consistent, customer-centric experience across vehicle platforms.

Responsibilities:

Own the end-to-end engineering lifecycle for a set of features or digital experience domains from concept through release sign-off, including electrification-focused features

Define the product execution path by answering: “What should we build, why does it matter, and how do we build it the right way?”,with consideration for both UX excellence and EV customer needs.

Translate PRDs, design artifacts, system behaviour requirements, and electrification use cases into clear software deliverables,epics and sprint-ready user stories with well-defined acceptance criteria in Jira.

Lead feasibility assessment, scope definition, and backlog readiness for PI planning; manage change/churn while protecting milestones.

Drive cross-functional alignment with Product, Digital Product Design, Architecture, Engineering, and Test teams to ensure shared understanding of intent, priorities, dependencies, and Electrification/EV-specific behaviours.

Define and manage feature dependencies and blockers across HMI, services, platform, vehicle signals, and electrification systems.

Validate end-to-end feature behaviour on bench/vehicle through demos and product truth sessions; ensure implementation matches UX intent, functional expectations, and real-world EV usage scenarios.

Lead defect triage and prioritisation for owned features; drive issues to closure through root-cause direction, retest strategy, and stakeholder communication.

Maintain clear execution visibility via epic status summaries, risk registers/mitigation plans, and regular stakeholder updates.

Ensure test coverage alignment by reviewing/confirming that test cases map to story acceptance criteria, edge cases, and electrification scenarios (e.g., charging interruptions, low battery states).

Identify and define logworthies and analytics instrumentation required for each feature, including EV-specific telemetry (charging sessions, energy usage, range accuracy).

Qualifications:

Education: BS in Engineering, Computer Science, or related technical field

Experience: 5+ years delivering complex, cross-functional software features in embedded, automotive, or adjacent domains; demonstrated ownership across multiple teams and releases.

Direct experience with Android Automotive/QNX, infotainment HMIs, and automotive middleware/service architectures.

Familiarity with electrification concepts such as battery state of charge (SoC), charging workflows (AC/DC fast charging), range estimation, and energy consumption modelling,without requiring deep hardware or electrical design expertise.

Backlog leadership: Proven ability to author high-quality epics and user stories (clear scope, testable acceptance criteria, dependency mapping) and drive Agile execution (grooming, PI planning, sprint delivery).

Systems integration mindset: Ability to reason about end-to-end behaviour across HMI ↔ middleware/services ↔ vehicle signal access (via API abstraction), including electrification data flows (battery, charging, energy systems), and drive integration/validation outcomes.

Technical proficiency: Strong technical depth to lead engineers,comfortable with architecture discussions, interface contracts, and failure-mode thinking.

Diagnostics/triage: Experience leading defect triage using logs and traces (e.g., ADB/dev logs; CAN trace familiarity), defining diagnostic logging (logworthies), and driving disciplined prioritisation/closure.

Tools: Proficiency with Jira and Confluence; comfortable creating traceability to requirements/design artefacts and managing dependencies.

Communication/leadership: Strong cross-functional leadership skills,can drive decisions, align stakeholders, and communicate risks/status crisply to technical and non-technical audiences.

Preferred qualifications:

Experience with electrification-focused features such as charging experiences, route planning with charging stops, or energy insights within automotive or mobility platforms.

Experience with test management tools and reviewing test coverage against acceptance criteria.

Knowledge of automotive program cadence and release gating (launch milestones, OTA readiness, in-field defect handling).

Proficiency with CAN-based feature behaviours and vehicle state modelling; exposure to tools such as CANalyzer/Wireshark (or similar).

Exposure to EV ecosystem integrations such as charging networks, Plug & Charge, or mobile app–vehicle energy feature interactions.

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Microsoft AI is building a new Education team within Consumer Copilot, and we’re looking for a passionate Fullstack Education Engineer to help us revolutionize how people learn. Our mission is bold and inspiring: empower every learner and every educator on the planet to achieve more through the transformative power of Microsoft Copilot.

This is a unique opportunity to join a brand-new product team at the forefront of AI innovation. You’ll design, build, and scale personalized, intelligent, and delightful learning experiences and systems ,from elegant web interfaces to secure, performant backend services powering AI-driven education features across iOS, Android, and web.

We’re seeking someone who brings technical excellence, product intuition, and genuine empathy,someone who thrives in fast-paced environments, collaborates deeply across disciplines, and is energized by building world-class consumer experiences that reach learners everywhere.

Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

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Responsibilities

• Own major full-stack product areas, driving features from design through production deployment.
• Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness.
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
• Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
• Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
• Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
• Adapt quickly,learning new technologies, frameworks, and tools as needed across the stack.

Ideal Experience

• 5+ years of full-time engineering experience, post-graduation.
• Strong experience developing full-stack applications using React, TypeScript, and Python.
• Experience scaling or shipping products at high-growth startups.
• Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
• Proficiency with SQL and modern API development.
• Experience with Kubernetes, containerization, and microservice architectures.
• Experience working with at least one major cloud provider (AWS, GCP, or Azure).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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