We’re looking for a Backend Engineer (Java) who thrives in fast-moving, agile teams and enjoys working across distributed systems, third-party integrations, and cloud infrastructure. This role is ideal for someone who is hands-on, solutions-oriented, and comfortable navigating ambiguity. You’ll help us build robust, scalable backend services that power critical parts of our platform.

Responsibilities 

• Design, develop, and maintain backend systems and APIs using Java (Spring Boot or equivalent).

• Build and integrate with third-party APIs and services.

• Develop and deploy distributed systems in cloud environments (AWS, GCP, or Azure).

• -Own the end-to-end lifecycle of backend features from design through to deployment and support.

• Debug and resolve production issues across multiple services and layers of the stack

• Collaborate closely with other engineers, product managers, and external partners in an agile environment.

• COLLABORATION 

• Work closely with product, engineering, and customer success teams to understand requirements

• Collaborate closely with other engineers, product managers, and external partners in an agile environment.

• Communicate technical concepts and progress effectively to both technical and non-technical stakeholders.

• Collaborate on improving team processes, coding standards, and best practices.

We are looking for a motivated Machine Learning Engineer (Python) to join our fast-moving team. This is a hands-on role ideal for someone with a solid foundation in machine learning, strong Python skills, and a desire to grow in a dynamic and often ambiguous environment. You’ll work closely with product managers, data scientists, and engineers to rapidly prototype, test, and deploy ML-driven features and pipelines.

Responsibilities 

• Collaborate in an agile team to develop and deploy ML models and data pipelines.

• Translate loosely defined business or customer requirements into practical ML solutions.

• Be creative and proactive in shaping solutions that solve real-world problems.

• Build, test, and optimize scalable Python-based systems for training and inference.

• Work with structured and unstructured data (e.g., tabular, text, image).

• Participate in sprint planning, daily stand-ups, and reviews.

• Own and maintain parts of the codebase and contribute to improving engineering best practices.
  
  Collaboration 
  Work closely with product, engineering, and customer success teams to understand requirements and deploy ML models

• Communicate technical concepts and progress effectively to both technical and non-technical stakeholders.

• Collaborate on improving team processes, coding standards, and best practices.

Role Summary

The Associate Manager leads delivery for a defined region/full reporting line, ensuring Business-As-Usual (BAU) stability while meeting client commitments. The role owns quality, on-time delivery, productivity, and continuous improvement outcomes by orchestrating people, process, and technology. This leader builds a high-performance culture, and collaborates with Transformation, Technology, and People (HR) to drive client satisfaction (NPS), automation of manual processes, and a great place to work.

Key Responsibilities

• Delivery & BAU Governance: Own day-to-day production for the region/reporting line; maintain BAU stability and recover quickly from incidents.
• Quality Management: Drive Right-First-Time outcomes through control plans, root-cause analysis, and preventive actions.
• On-Time Delivery (OTD): Plan capacity, balance workload, and remove blockers to achieve committed cycle times and SLAs.
• Cost & Efficiency: Improve unit cost and throughput via standard work, cross utilization and automation; prioritize transformation opportunities.
• Stakeholder Collaboration: Partner with Transformation & Tech to digitize manual processes; with People/HR to strengthen engagement, DE&I, and manager effectiveness.
• People Leadership: Coach and develop DOA and PDOA; build succession pipelines; foster psychological safety and high performance.
• Risk & Compliance: Identify and mitigate operational risks; ensure adherence to policies, data security, audit, and regulatory requirements.
• Performance Management: Define operating rhythms (stand-ups, WBR/MBR/QBR); publish dashboards and action plans for gaps
• Client Readiness & Change: Lead production readiness for new/changed work; plan migrations and transitions without service disruption.

KPIs & Outcomes

• Quality: First-Time-Right %, QE%
• On-Time Delivery: SLA adherence %, Cycle Time vs. plan, On-time release %.
• BAU Stability: Backlog age, Schedule adherence
• Productivity & Cost: Throughput per FTE, Automation coverage %, RPH trend, Utilization.
• Client Experience: Client escalations closed on time

People & Culture: Gallup score, Attrition %, Internal mobility

Key Responsibilities:

• Lead hardware design and development for ADAS, Cockpit, and Connectivity ECUs, from concept to production

 • Design high-speed digital boards with advanced SoCs, DDR4/DDR5, LPDDR interfaces, PCIe, Ethernet (RGMII/SGMII/RMII/10G), USB, MIPI CSI/DSI, and SerDes.

• Perform schematic design, component selection, and BOM optimization ensuring automotive-grade reliability and cost efficiency.

• Conduct Signal Integrity (SI) and Power Integrity (PI) analysis for critical high-speed signals and power rails.

• Support thermal design and validation, collaborating with mechanical and thermal engineers to ensure performance under harsh automotive conditions.

• Ensure ASIL-D compliance (ISO 26262) for safety-critical designs; participate in FMEA, FMEDA, and safety architecture reviews.

• Interface with camera, radar, LiDAR, and sensor fusion modules, ensuring signal quality, timing, and synchronization.

• Collaborate with PCB layout engineers for constraint-driven designs (impedance, stackup, crosstalk, EMI/EMC).

• Drive hardware validation and bring-up, including board-level testing, debugging, and root-cause analysis.

• Work with cross-functional teams (System, Software, Validation, Manufacturing, EMC) through design verification and PPAP stages.

• Support DFMEA, DFx (DFM, DFT, DFA) activities to ensure manufacturability and reliability.

• Create design documentation, validation reports, and participate in technical reviews and customer discussions.

• Required Skills and Experience:

• Bachelor’s or Master’s Degree in Electronics, Electrical, or related engineering field.

• 5–9 years of hands-on experience in automotive hardware design.

• Proven experience with SoC-based board design (e.g., NVIDIA, Qualcomm, Renesas, TI, NXP, Infineon AURIX).

• Strong understanding of ADAS, Cockpit, and IVI architecture including sensor and compute domains.

• Expertise in high-speed design (DDR4/5, PCIe, MIPI, Ethernet, USB 3.x, LVDS, SerDes).

• Experience with SI/PI analysis tools (e.g., HyperLynx, Sigrity, Ansys, Cadence). • Knowledge of Automotive Safety (ISO 26262 – ASIL B to D compliance).

• Familiarity with EMI/EMC standards (CISPR 25, ISO 11452) and compliance testing.

• Understanding of thermal design, power sequencing, and power distribution.

• Experience in camera/radar interface and sensor fusion hardware design.

• Proficiency in schematic tools (Altium, Cadence Allegro, Mentor DxDesigner, Zuken CR8000).

• Hands-on experience with hardware bring-up, debugging, and lab instruments (oscilloscope, logic analyzer, power analyzer, etc.).

• Excellent analytical, communication, and documentation skills.

• Preferred Qualifications: • Experience with ASIL-D compliant ECU development.

• Exposure to Ethernet TSN, CAN-FD, LIN, FlexRay and in-vehicle communication networks.

• Knowledge of thermal simulation and mechanical integration.

• Familiarity with AI/ML accelerator SoCs used in perception and fusion ECUs.

• Experience working with global OEMs and Tier-1s on production projects.

• Key Tools & Technologies: • Schematic/PCB: Zuken , Altium Designer, Cadence Allegro, Mentor Graphics

• Simulation: HyperLynx, Ansys SIwave, Sigrity, SPICE, ADS

• Compliance & Debug: Oscilloscope (≥20GHz), Vector CANoe, Power Analyzer, JTAG

• Documentation: PDM/PLM systems, Jira, Confluenc