Title: System Engineering Manager [MULTIPLE POSITIONS] Location: Sacramento United States Job Description: 510115 Organization Mobility Field of work Engineering Company Siemens Mobility, Inc Experience level Mid-level Professional Job type Full-time Work mode Hybrid (Remote/Office) Employment type Permanent Employer: Siemens Mobility, Inc. Job Type: Full Time Rate of Pay: The salary range for this position in Sacramento, CA is $193,315 to $222,000 per year and this role may be eligible to earn incentive compensation. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees). Duties: Guide reporting roles as a software architect in the planning and execution of software development tasks. Lead the software release process onto vehicles and to the customer sites. Oversee the development of the system design required for propulsion, train control and diagnostics functionality and the outputs generated for the customers. Responsible for structure, schedule and managing associated task within the budget constraints of the projects. Set expectations for work outcomes and monitor the progress and report to superiors. Manage resources via interviewing, hiring, promoting or terminating employees if necessary. Communicate progress and deliverables across the organization. Work effectively with remote teams (in Europe) contributing to software development or propulsion system design. Collaborate with many interfacing groups such as electrical and mechanical systems and Design Engineering as well as factory testing, commissioning and field service. Manage expectations to the group from external stakeholders or industry standards against a challenging schedule to safely and reliably put vehicles into service. Complete concept, design, specification, integration, interface, compatibility, verification, and evaluation in support of mechanical, electro-mechanical, and/or electrical components or systems from the bid phase to the warranty phase of each project. Review customer specifications from its system responsibilities. Review new technology and continuously enhance system capabilities. Requirements: Employer will accept a Bachelor's degree, or foreign equivalent, in Electrical Engineering, Telecommunication Engineering or related field and 60 months of experience in the job offered or in a System Engineer-related occupation. Position requires experience in the following: Working with diagnostic systems, fault reporting and associated devices and networks; Working with software development processes and involved standards (such as EN 50128, EN 50657 or IEEE 1558); Working with industrial controllers (PLC) and their selection, configuration and programming (based on IEC 61131); Working with IT product lifecycles, obsolescence management and cybersecurity; Working with the application of relevant industry standards surrounding Train Control Networks such as IEC 61375 to create a compliant and safe designs; Working with software laboratory test benches based on “hardware in the loop” setups; Working with interfaces in a manufacturing and testing environments. Telecommuting and/or working from home is permissible pursuant to company policy. 10% of domestic and international travel is required. [Hybrid role] Referral Program: Incentives offered through the Company’s Employee Referral Program are applicable to this position. CONTACT : Apply within this posting. #LI-DNI Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here. Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

• Oversee the software development process and manage teams of engineers • Set technical standards and ensure project goals are met within the assigned timeframe • Design and maintain agentic workflows to automate the product development process from design to development, and release • Develop and implement strategic plans to achieve technical goals and objectives • Oversee multiple software development projects, ensuring they are completed on time and meet quality standards • Identify potential risks in the software development process and implement strategies to mitigate these risks • Take full ownership of the software systems that your teams build • Ensure adequate unit-tests, logging, and monitoring with alerts • Stay abreast of the latest technology trends and advancements • Identify issues that could jeopardize timelines • Balance idealism and pragmatism for prompt project completion • Coordinate with other teams as needed • Communicate effectively with other department heads, executives, and stakeholders • Lead and mentor software engineers, encouraging their professional growth

• Lead and mentor a team of engineers, emphasizing technical excellence, productivity, and stakeholder satisfaction. • Collaborate with cross-functional teams to align technical strategies with business goals, translating high-level vision into actionable objectives. • Engage in direct technical contributions approximately 5–10% of your time to support system performance and scalability through activities like code reviews, architectural guidance, and hands-on debugging during critical incidents. • Foster an inclusive culture that embraces diversity, promotes work-life balance, and nurtures professional development. • Navigate complex projects within regulated industries, embedding security and compliance in everything you design. • Define where the Billing domain needs to be in 12–24 months, translate that into team bets and priorities, and own that narrative • Model and actively drive the use of AI-powered developer tools — agentic coding, AI-assisted code review, LLM-assisted debugging — as a core part of the team's SDLC.

Role Description We are hiring an engineering manager to lead a multidisciplinary team working across applied AI/ML engineering, data science, infrastructure, and production data systems. This manager will directly support senior and principal-level individual contributors, including Applied AI/ML Engineers and Data Scientists, and will be responsible for helping the team execute effectively in a fast-changing technical environment. This is not a traditional people-management role where the operating model is already fully defined. Engineering processes, delivery norms, quality expectations, AI/ML evaluation practices, and team workflows are all evolving rapidly as applied AI changes how software and data products are built. The right person will be energized by that uncertainty. They will bring structure without creating bureaucracy, help the team adapt quickly, and create an environment where strong technical generalists can do their best work. This person will manage and work with teams operating across Canada, India, Europe, and North America. They must be highly effective in distributed, asynchronous collaboration and able to build trust, clarity, and momentum across time zones. Applied AI and data science teams are operating in a period of major change. The tools, processes, quality standards, and delivery expectations that worked for traditional software or analytics work may not be sufficient for modern AI-enabled systems. This role is critical because the team needs a manager who can help define new ways of working while still delivering meaningful outcomes. The right manager will help the team move through uncertainty with confidence: creating enough structure to make progress, enough flexibility to adapt, and enough curiosity to keep learning as the field changes. Responsibilities - Manage and grow a team of senior and principal-level engineers and data scientists working on applied AI/ML-enabled systems, data products, and platform capabilities. - Create clarity in ambiguous technical and organizational environments by helping the team define priorities, execution plans, decision points, and success criteria. - Build operating rhythms that work across India, Europe, and North America, including effective async communication, meeting discipline, handoff practices, and documentation norms. - Partner closely with senior technical ICs to translate strategy and ambiguous opportunities into scoped initiatives, milestones, and measurable outcomes. - Help the team navigate rapidly changing AI/ML engineering practices, including evolving norms around prototyping, evaluation, production readiness, quality, governance, and operational ownership. - Drive continuous improvement in team processes without assuming that legacy engineering models are always the right fit for AI-driven work. - Support cross-functional execution across engineering, data science, product, analytics, infrastructure, quality, and business stakeholders. - Coach team members on communication, prioritization, technical judgment, stakeholder management, and working effectively across distributed teams. - Identify risks, dependencies, bottlenecks, and unclear ownership early, then help the team resolve them pragmatically. - Foster a team culture grounded in curiosity, adaptability, technical rigor, accountability, and psychological safety. - Balance delivery pressure with sustainable team health, ensuring the team can move quickly without losing quality or focus. - Recruit, onboard, and develop strong generalist technical talent capable of working across AI/ML, infrastructure, data systems, quality, and execution. Qualifications - Experience managing technical teams in engineering, applied AI/ML, data science, data platforms, or adjacent domains. - Ability to lead senior and principal-level ICs without needing to be the deepest expert in every area. - Strong understanding of modern software, data, and AI/ML delivery practices, with enough technical depth to ask good questions, identify risks, and facilitate sound decisions. - Comfort operating in environments where processes are still forming, changing, or being actively redefined. - High adaptability and curiosity about how AI/ML is changing engineering practice, team structure, delivery models, and quality expectations. - Strong cross-functional leadership skills, especially in ambiguous initiatives involving engineering, data science, infrastructure, QA, product, and business stakeholders. - Excellent written communication, including planning docs, status updates, decision summaries, stakeholder updates, and async team communication. - Excellent verbal communication, including facilitation, coaching, conflict resolution, and executive or cross-functional updates. - Experience working with globally distributed teams, especially across India, Europe, and North America. - Strong project and execution management skills, including planning, dependency tracking, prioritization, and risk management. - A generalist mindset and willingness to engage across areas such as DevOps, AWS/cloud operations, data systems, infrastructure, quality, and delivery planning. - Demonstrated ability to create team focus and accountability without over-prescribing solutions or slowing down strong ICs. The Ideal Candidate - The team has clear priorities, strong execution habits, and a shared understanding of what matters most. - Senior and principal ICs feel supported, challenged, and empowered rather than micromanaged. - Distributed collaboration improves across Canada, India, Europe, and North America. - The team adapts quickly as applied AI engineering practices evolve. - Delivery becomes more predictable without reducing experimentation, curiosity, or technical ambition. - Engineering quality, communication, and operational ownership improve over time. - The manager becomes a trusted partner to both technical ICs and cross-functional stakeholders.